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SujayCh07/README.md

Hey there! I'm Sujay Chava

BSCS @ Georgia Tech · AI Engineer Intern @ IBM · Co-Founder & CTO @ Cache

Email · LinkedIn · GitHub · Devpost

I like building AI products that turn complex information into useful workflows.

Most of my recent work has been around recruiting systems, document-grounded recommendations, AI agents, robotics perception, and full-stack products built for real users.

Current focus

  • Building Cache: an AI recruitment platform for structured student profiles, recruiter search, and candidate matching
  • Working at IBM Client Engineering: enterprise AI workflows, automation, and technical enablement
  • Building applied AI/cloud projects: RAG, agents, AWS, FastAPI, React, and real-time systems
  • Researching robotics perception: turning rover sensor data into navigation-ready terrain maps

Selected work

Project What it is My role Stack
Cache AI recruitment platform for structured student profiles and recruiter search Co-Founder & CTO: matching, onboarding, auth, recruiter workflows Next.js, TypeScript, Supabase, PostgreSQL, Azure OpenAI
FinMate AWS/Lincoln Financial hackathon benefits advisor for document-grounded recommendations Helped design retrieval flow, backend APIs, and recommendation UX with team AWS, Bedrock, Lambda, API Gateway, DynamoDB, S3, FastAPI, React
EchoLocate Agentic AI digital forensics game Built agent-to-UI workflows, evidence graph, case board, and investigation interface LLM agents, React, TypeScript, FastAPI
Kora Real-time AI vision assistant for accessibility Developed detection/depth pipeline, spatial danger grid, and real-time scene streaming YOLOv8, MiDaS, OpenCV, FastAPI, WebSockets
Rover Perception ROS2 rover mapping pipeline for terrain understanding Created point-cloud to occupancy-grid pipeline for live rover testing Python, ROS2, TF2, PointCloud2, RViz, Nav2
Urban Heat AI-IoT Sensors Samsung Solve for Tomorrow National Finalist project for heat-risk mapping Built AI/IoT heat mapping and mitigation workflow CNN-LSTM, IoT sensors, geospatial dashboards

🧰 Technical Toolkit

  • AI / ML: RAG, embeddings, vector search, LLM workflows, OpenCV
  • Backend / Cloud: AWS, FastAPI, Node.js, PostgreSQL, Supabase
  • Frontend / Product: React, Next.js, TypeScript, dashboards, recruiter workflows
  • Robotics / Systems: ROS2, Docker, Linux, Git/GitHub
  • Languages: Python, TypeScript, JavaScript, Java, SQL, C/C++, MATLAB

What I'm looking for

Internships and technical roles around applied AI, cloud engineering, solutions architecture, full-stack AI products, and robotics perception.

Contact

Email: [email protected] LinkedIn: linkedin.com/in/sujaychava Devpost: devpost.com/SujayCh07

Pinned Loading

  1. cache-case-study cache-case-study Public

    Public engineering case study for my startup Cache, covering its AI recruiting platform architecture, candidate profiles, recruiter search, matching, and onboarding workflows.

  2. finmate-ai-benefits-advisor finmate-ai-benefits-advisor Public

    2nd Place AWS/Lincoln Financial hackathon project: RAG benefits advisor using Bedrock, Lambda, DynamoDB, S3, FastAPI, and React.

    TypeScript

  3. agentic-digital-forensics-simulator agentic-digital-forensics-simulator Public

    Best Moonshot Hack at Bitcamp: agentic AI digital forensics simulator with LLM agents, evidence graphs, case boards, and investigation workflows.

    TypeScript

  4. lunar-rover-perception lunar-rover-perception Public

    ROS2 perception pipeline converting ZED 2i point clouds into occupancy grids for rover navigation.

    Python

  5. kora-ai-vision-assistant kora-ai-vision-assistant Public

    Real-time AI vision assistant using YOLOv8, MiDaS, OpenCV, FastAPI, and WebSockets for spatial hazard guidance.

    JavaScript

  6. parity-financial-assistant parity-financial-assistant Public

    AI financial assistance tool for PPP-style program discovery, eligibility guidance, and document-based recommendations.

    JavaScript