{"basics":{"name":"Kartik Gounder","headline":"Software engineer building AI agent infrastructure and ML systems that survive contact with production","summary":"MS in Computer Science at Columbia, graduating December 2026. Forward deployed engineer intern at Rapidflare, research assistant with Prof. Tian Zheng, and TA for Policy for Privacy Technologies. Seven internships (Rapidflare, Vertex, Columbia aiX, SAP Labs, Samsung R&D, eNova twice), three peer-reviewed papers (ACM, Springer, IEEE), and two filed patent applications.","location":"New York, NY","availability":"Graduating December 2026 and open to full-time roles in agentic systems, developer tooling, and evaluation.","email":"hello@kartikgounder.com","personalEmail":"kartikgounder@gmail.com","github":"https://github.com/KartikDaGreat","linkedin":"https://www.linkedin.com/in/kartik-gounder","resume":"https://drive.google.com/file/d/1RDCJcs4V8BLVaDjqGEFXjoqk6KzF-AXi/view?usp=sharing"},"now":[{"id":"rapidflare","kind":"Industry","org":"Rapidflare","role":"Forward Deployed Engineer Intern","detail":"Working directly with customers to get the product running on their real problems."},{"id":"research","kind":"Research","org":"Columbia, with Prof. Tian Zheng","role":"Research Assistant","detail":"Distilling papers into a form an AI agent can build from, and a reader can chat with to understand."},{"id":"teaching","kind":"Teaching","org":"Columbia","role":"TA, Policy for Privacy Technologies","detail":"Helping run the course I took last spring: privacy-enhancing tech, regulation, and where they meet."}],"headlineResults":[{"value":"2-2.5h","label":"cut off every bug traced at Vertex","where":"Vertex · Sherlock","detail":"An AI tracer that checks a reported bug against Datadog logs and Pulsar events before anyone opens an editor."},{"value":"13%","label":"revenue lift I drove across 15 clients","where":"eNova · AI modules","detail":"Scaled three prediction modules across the Python products, tuned against 15 real client deployments."},{"value":"14/14","label":"boxr drawings problem-free, vs 4/14","where":"boxr · paired eval","detail":"Same model, 14 paired briefs. The plain prompt drew problem-free diagrams 4 times; boxr's guardrails got all 14."},{"value":"3 + 2","label":"papers published, patents filed","where":"ACM · Springer · IEEE","detail":"Three peer-reviewed papers, plus two patents out of $135 of wearable hardware I built and ran."}],"experience":[{"title":"Forward Deployed Engineer Intern","company":"Rapidflare","nowId":"rapidflare","period":"September 2026 - Present","year":2026,"location":"New York, NY","start":"2026-09","type":"internship","current":true,"highlights":[{"lead":"Customer-facing","text":"working directly with customers to get the product running on their real problems."}]},{"title":"Teaching Assistant, Policy for Privacy Technologies","company":"Columbia University","nowId":"teaching","period":"Fall 2026","year":2026,"location":"New York, NY","start":"2026-09","end":"2026-12","summary":"Teaching assistant for Columbia's course on privacy-enhancing technologies and the policy around them.","keywords":["Privacy-Enhancing Technologies","Privacy Policy","Teaching"],"type":"teaching","current":true,"highlights":[{"lead":"Course support","text":"for the class I took in Spring 2026, covering privacy-enhancing technologies, regulatory frameworks, and applied privacy engineering."}]},{"title":"Research Assistant","company":"Columbia University","nowId":"research","period":"September 2026 - Present","year":2026,"location":"New York, NY","start":"2026-09","summary":"Research on turning papers into something agents can build from and readers can talk to.","keywords":["AI Agents","Research Tooling","LLMs"],"type":"research","current":true,"highlights":[{"lead":"Paper distillation","text":"with Prof. Tian Zheng, turning research papers into a form an AI agent can build a project from, and a reader can chat with to understand the paper."}]},{"title":"Software Development Intern","company":"Vertex Inc.","period":"June 2026 - August 2026","year":2026,"location":"Pennsylvania, US","start":"2026-06","end":"2026-08","summary":"Built AI agent infrastructure for enterprise engineering teams.","keywords":["MCP","Electron","TypeScript","LLM agents","Datadog","Apache Pulsar","Jest"],"type":"internship","highlights":[{"lead":"MCP platform","text":"connects 105 enterprise tools through one Electron app, routing real requests across Jira, Slack, GitHub, Confluence, and more."},{"lead":"Sherlock","text":"AI bug tracer that validates issues against Datadog logs and Pulsar events with chain-of-thought reasoning. Cuts 2 to 2.5 hours off every debugging cycle."},{"lead":"78 tests","text":"across unit, integration, functional, and e2e layers, at 92.65% coverage."},{"lead":"Token instrumentation","text":"measured every tool-discovery call, then cut redundant context for a 36.11% saving."}],"impact":[{"value":"2-2.5h","label":"saved per bug"},{"value":"36.11%","label":"fewer tokens"}]},{"title":"aiX Convergence Design Studio Intern","company":"Columbia University","period":"Jan 2026 - May 2026","year":2026,"location":"New York, NY","start":"2026-01","end":"2026-05","summary":"Research engineering across privacy-preserving ML data collection, agent evaluation, and AI literacy in pedagogy.","keywords":["Computer Vision","Privacy Engineering","Agent Evaluation","FastAPI","Google Cloud","PostgreSQL"],"type":"internship","highlights":[{"lead":"Privacy pipeline","text":"image labeling platform with ensemble face detection (MTCNN + RetinaFace + MediaPipe) that blurs PII before anything hits storage."},{"lead":"Agent evaluation","text":"metrics with Prof. Tian Zheng for whether a data-science agent actually helps students learn, not just whether it answers correctly."},{"lead":"AI literacy","text":"multi-year initiative with Prof. Anthony Vanky, building tools for students and educators working with AI in course design."}],"certificate":"https://drive.google.com/file/d/1XNSc5r4Z2FpBkPpxfL4F7uuOdVi5_0Mb/view?usp=sharing","impact":[{"value":"Blur-first","label":"PII never reaches storage"},{"value":"Eval metrics","label":"for data-science agents"}]},{"title":"Software Development Intern","company":"eNova Software and Hardware Solutions","period":"January 2025 - 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Bangalore","period":"January 2024 - May 2024","year":2024,"location":"Bangalore, India","start":"2024-01","end":"2024-05","keywords":["TensorFlow","CNN","On-Device ML","Computer Vision"],"type":"internship","highlights":[{"lead":"On-device CNN","text":"custom framework for document classification that runs on the phone, not a server."},{"lead":"ISEC-2025","text":"co-authored and published the research paper behind it."}],"certificate":"https://drive.google.com/file/d/1xpLRjU5B9Chpf3GpxL4jeNGbhm4g0_5B/view?usp=sharing","impact":[{"value":"On-device","label":"classification, no server"},{"value":"ISEC-2025","label":"paper published"}]},{"title":"Software Engineer Intern","company":"eNova Software and Hardware Solutions","period":"August 2023 - December 2023","year":2023,"location":"Coimbatore, Tamil Nadu, India","start":"2023-08","end":"2023-12","keywords":["Web Development","Monitoring"],"type":"internship","highlights":[{"lead":"Web assets","text":"email landing pages and server status monitoring."},{"lead":"Training syllabus","text":"updated and enhanced the internship curriculum."}],"certificate":"https://drive.google.com/file/d/1kL7yFm7ALNFfT2R6YdrNCYVFRnZWNI_z/view?usp=sharing","impact":[{"value":"Uptime pages","label":"server status monitoring"},{"value":"Syllabus","label":"intern curriculum rewritten"}]}],"projects":[{"title":"boxr: Architecture Diagrams From a Conversation","slug":"boxr","featured":true,"year":2026,"description":"Describe a software system and boxr interviews you until twelve core requirements are known, draws the components, connections and data flows, checks its own drawing, and exports a build prompt a coding model can implement.","role":"Solo build","status":"active","technologies":["TypeScript","React","Vite","React Flow","ELK","Groq","IndexedDB","Vercel"],"tags":["LLM Tooling","System Design","Evaluation"],"metrics":[{"value":"14/14","label":"drawings problem-free, vs 4/14 from a plain prompt"},{"value":"66%","label":"spec-only parts drawn after the interview, vs 6%"},{"value":"62/64","label":"build-pack questions answered correctly"},{"value":"12","label":"requirement slots per design"}],"links":{"demo":"https://boxr.kartikgounder.com"},"page":"https://kartikgounder.com/projects/boxr","markdown":"https://kartikgounder.com/projects/boxr.md"},{"title":"TAOL: Trust-Aware Orchestration Layer","slug":"taol","featured":true,"year":2026,"description":"Trust-aware middleware layer for LLM-powered coding agents that quantifies generation reliability using composite risk scoring and automated human-in-the-loop decision routing.","role":"Team of 3 (with Anisha Apte and Shruti Bhamidipati). Columbia COMS E6156","status":"shipped","technologies":["Python","FastAPI","Ollama","AST","Scikit-learn","SQLite","tree-sitter","Rich"],"tags":["Agent Infrastructure","Trust & Safety","Benchmarks"],"metrics":[{"value":"99.2%","label":"intent-gate accuracy"},{"value":"0.999","label":"AUC"},{"value":"500","label":"SWE-bench tasks benchmarked"},{"value":"144","label":"unit tests"}],"links":{"demo":"https://taol-demo.vercel.app","video":"https://youtu.be/sOJtzGffaYA"},"page":"https://kartikgounder.com/projects/taol","markdown":"https://kartikgounder.com/projects/taol.md"},{"title":"skill-optimizer: Pick the Right Claude Code Skill","slug":"skill-optimizer","featured":true,"year":2026,"description":"A Claude Code plugin that picks the best skill for your task in a single API call, and Pickr, a web app that does the same across about 1,900 skills with a cheapest-first cascade (BM25, then Jev, then Groq) and streams every decision live. Anyone can add a skill, which gets a live safety scan before it joins the catalog.","role":"Solo build","status":"active","technologies":["Claude Code","Bash","Next.js","BM25","Jev","Groq","Vercel AI Gateway","Vercel Blob","GitHub CLI"],"tags":["Claude Code","Agent Skills","Developer Tooling"],"metrics":[{"value":"98%","label":"Pickr picks rated a good fit by an independent judge"},{"value":"$0.00017","label":"per Pickr search, 1.2s on average"},{"value":"~1,900","label":"skills in the catalog"},{"value":"41k","label":"tokens per plugin selection (down from 213k)"}],"links":{"demo":"https://pickr.kartikgounder.com","github":"https://github.com/KartikDaGreat/skill-optimize"},"page":"https://kartikgounder.com/projects/skill-optimizer","markdown":"https://kartikgounder.com/projects/skill-optimizer.md"},{"title":"125th Street Departure Board","slug":"departure-board","featured":false,"year":2026,"description":"A 32x16 LED matrix on my desk that shows live southbound arrivals for the 4/5/6, the 2/3, and three bus routes at 125th Street, plus a dual-timezone clock and a generative art mode, switched by waving at an ultrasonic sensor.","role":"Solo build, hardware and software","status":"active","technologies":["Python","Raspberry Pi","WS2812B","GTFS-Realtime","Pillow","OneBusAway","HC-SR04"],"tags":["Hardware","Transit Data","Embedded"],"metrics":[{"value":"512","label":"addressable pixels"},{"value":"2","label":"live transit feeds"},{"value":"20s","label":"feed poll interval"}],"links":{"github":"https://github.com/KartikDaGreat/MTA-Board"},"page":"https://kartikgounder.com/projects/departure-board","markdown":"https://kartikgounder.com/projects/departure-board.md"},{"title":"Brandeis: Privacy Technology Advisor","slug":"brandeis","featured":true,"year":2026,"description":"Interactive decision-support tool that analyzes 11 user-defined constraints across privacy goals, data sensitivity, trust models, and regulatory regimes to recommend optimal privacy-enhancing technologies with explainable reasoning.","role":"Solo build. Columbia, Policy in Privacy Technology","status":"shipped","technologies":["React 19","Vite","Tailwind CSS","JavaScript","Rule Engine","Privacy Engineering"],"tags":["Privacy Tech","Rule Engine","Policy"],"metrics":[{"value":"11","label":"constraint dimensions"},{"value":"10","label":"privacy technologies profiled"},{"value":"0","label":"backend services required"}],"links":{"demo":"https://brandeis-two.vercel.app"},"page":"https://kartikgounder.com/projects/brandeis","markdown":"https://kartikgounder.com/projects/brandeis.md"},{"title":"FuelForm (Snapdragon Hack)","slug":"fuelform-snapdragon-hack-","featured":false,"year":2026,"description":"Adaptive fitness and nutrition planning system that automates workout and dietary decisions using three AI/ML agents across an Android app and laptop compute node, synced via Firebase.","technologies":["Android","Kotlin","Firebase","Python","AI/ML","Snapdragon S25 Elite","Health Connect"],"tags":["Mobile","On-Device AI","Hackathon"],"links":{"github":"https://github.com/KartikDaGreat/FuelForm"},"page":"https://kartikgounder.com/projects/fuelform-snapdragon-hack-","markdown":"https://kartikgounder.com/projects/fuelform-snapdragon-hack-.md"},{"title":"Mind Duelist: AI Adversarial Interviewer","slug":"mind-duelist-ai-adversarial-interviewer","featured":false,"year":2026,"description":"Real-time voice-based technical interviewer that detects bluffing, maps knowledge gaps, and dynamically escalates follow-up questions using LLM-driven gap analysis and live scoring.","technologies":["React","TypeScript","ElevenLabs","Gemini Flash","Supabase","Edge Functions","AI/ML"],"tags":["Voice AI","Real-Time","Hackathon"],"links":{"demo":"https://mind-duelist.lovable.app"},"page":"https://kartikgounder.com/projects/mind-duelist-ai-adversarial-interviewer","markdown":"https://kartikgounder.com/projects/mind-duelist-ai-adversarial-interviewer.md"},{"title":"On-Device Document Classification","slug":"on-device-document-classification","featured":false,"year":2024,"description":"Lightweight CNN framework for classifying documents based on visual layout and limited text, designed for on-device deployment with only 3.7M parameters. Published at ACM ISEC-2025.","technologies":["Python","TensorFlow","CNN","Computer Vision","On-Device ML"],"tags":["On-Device AI","Computer Vision","Published"],"links":{"paper":"https://doi.org/10.1145/3717383.3717387"},"page":"https://kartikgounder.com/projects/on-device-document-classification","markdown":"https://kartikgounder.com/projects/on-device-document-classification.md"},{"title":"Psychological Counselling Chatbot","slug":"psychological-counselling-chatbot","featured":false,"year":2024,"description":"Tri-modal chatbot for assessing patients' mental states through text, voice, and facial expression analysis, achieving 87% user satisfaction in clinical evaluations. Published at Springer BITMDM-2024.","technologies":["Python","Flask","AngularJS","NLP","Speech Analysis","Computer Vision","AI/ML"],"tags":["Multimodal","Healthcare","Published"],"links":{"github":"https://github.com/KartikDaGreat/Psychological-Counselling-Chatbot","paper":"https://doi.org/10.1007/978-3-031-82706-8_23"},"page":"https://kartikgounder.com/projects/psychological-counselling-chatbot","markdown":"https://kartikgounder.com/projects/psychological-counselling-chatbot.md"},{"title":"Skin Cancer Detection Ensemble","slug":"skin-cancer-detection-ensemble","featured":false,"year":2023,"description":"Ensemble deep learning model combining ResNet-50, EfficientNet-B3, and MobileNetV2 for dermatological image classification, achieving 96.33% accuracy on skin lesion detection.","role":"Published at ICoICI-2024 (IEEE)","status":"published","technologies":["Python","PyTorch","ResNet","EfficientNet","MobileNet","Transfer Learning"],"tags":["Medical Imaging","Model Ensemble","Published"],"metrics":[{"value":"96.33%","label":"ensemble accuracy"},{"value":"3","label":"CNN architectures combined"}],"links":{"paper":"https://doi.org/10.1109/ICoICI62503.2024.10696508"},"page":"https://kartikgounder.com/projects/skin-cancer-detection-ensemble","markdown":"https://kartikgounder.com/projects/skin-cancer-detection-ensemble.md"},{"title":"Fake News Origin Detection","slug":"fake-news-origin-detection","featured":false,"year":2024,"description":"NLP-based machine learning system for detecting the origins and propagation patterns of misinformation, achieving 96.3% accuracy using linguistic feature analysis and source credibility scoring.","technologies":["Python","NLP","Scikit-learn","NLTK","TF-IDF","Feature Engineering"],"tags":["NLP","Multilingual","Research"],"links":{"github":"https://github.com/KartikDaGreat/Fake-News-Other-Langs"},"page":"https://kartikgounder.com/projects/fake-news-origin-detection","markdown":"https://kartikgounder.com/projects/fake-news-origin-detection.md"},{"title":"Traffic Speed Detection System","slug":"traffic-speed-detection-system","featured":false,"year":2023,"description":"Automated speeding ticket framework for NHAI (National Highways Authority of India) using computer vision for vehicle detection, speed estimation, and license plate recognition.","technologies":["Python","OpenCV","YOLO","Computer Vision","IoT","OCR"],"tags":["Computer Vision","Civic Tech","Hardware"],"links":{},"page":"https://kartikgounder.com/projects/traffic-speed-detection-system","markdown":"https://kartikgounder.com/projects/traffic-speed-detection-system.md"},{"title":"Chota-Dhobi Mobile App","slug":"chota-dhobi-mobile-app","featured":false,"year":2023,"description":"On-demand laundry services mobile application with real-time order tracking, dynamic pricing, scheduling, and multi-vendor management built with Firebase backend.","technologies":["Firebase","Android","Java","Firestore","Cloud Functions","Google Maps API"],"tags":["Mobile","Local Services"],"links":{},"page":"https://kartikgounder.com/projects/chota-dhobi-mobile-app","markdown":"https://kartikgounder.com/projects/chota-dhobi-mobile-app.md"},{"title":"UrbanistAI: ML Data Labeling Platform","slug":"urbanistai","featured":true,"year":2026,"description":"Full-stack ML data collection and labeling platform with privacy-preserving image processing, interactive bounding box annotation, and role-based workspace management for university courses.","role":"Built with Jenny Leana Fotso Ngompe, under Prof. Anthony Vanky and Prof. Tian Zheng","status":"active","technologies":["React 18","FastAPI","PostgreSQL","Google Cloud","MediaPipe","MTCNN","RetinaFace","Konva.js","EasyOCR"],"tags":["Privacy Tech","Computer Vision","Platform"],"metrics":[{"value":"3","label":"face detectors in ensemble"},{"value":"0","label":"PII surviving to storage"},{"value":"3","label":"access roles (Student/TA/Admin)"}],"links":{"demos":[{"href":"https://anonymize.kartikgounder.com","label":"Try the anonymizer","note":"The privacy processor, in the first version we built. Fully working, so upload a photo and watch the faces blur and the EXIF come off."},{"href":"https://urbanistai2026.netlify.app","label":"Student platform (older demo)","note":"An older demo build of the platform itself. Poke around and look at the processed training data students uploaded, but most of it won't do much."}],"github":"https://github.com/KartikDaGreat/UrbanistAI-public"},"page":"https://kartikgounder.com/projects/urbanistai","markdown":"https://kartikgounder.com/projects/urbanistai.md"},{"title":"Personal Portfolio Website","slug":"personal-portfolio-website","featured":false,"year":2025,"description":"Interactive developer portfolio featuring a fully functional terminal emulator, encrypted file management system, dynamic theming, and real-time integrations with GitHub, Vercel, and Arduino IoT.","technologies":["Next.js","TypeScript","Tailwind CSS","Supabase","Arduino","Vercel API"],"tags":["Full-Stack","Design","This Site"],"links":{"github":"https://github.com/KartikDaGreat/kartikgounder-website"},"page":"https://kartikgounder.com/projects/personal-portfolio-website","markdown":"https://kartikgounder.com/projects/personal-portfolio-website.md"}],"publications":[{"title":"A Lightweight Hybrid CNN-Fuzzy Logic Approach for Real Time On-Device Document Classification","venue":"ISEC 2025 (ACM)","year":"2025","authors":"K. 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