Aditya Singh Khichi — Full-Stack Software Engineer
Building data platforms and AI-powered systems at a YC W26 startup. I ship production-grade pipelines, RAG engines, and full-stack products — from React to PostgreSQL to AWS.
Location: New Delhi, India. Email: realraghavaditya@gmail.com. GitHub: https://github.com/raghav-45.
Experience
Full Stack Engineer — Human Archive (YC W26) (Feb 2026 - Present)
- Led a team of engineers to build the company's data platform end-to-end: React with TanStack Router, Express API, PostgreSQL, and deep AWS integration (Cognito, S3, Lambda, CloudFront signed URLs), serving as the primary tool for delivering TB-scale robotics datasets to enterprise customers.
- Designed the dataset pipeline (recursive S3 folder resolution, batched ingestion with conflict-safe upserts) and a multi-tenant auth layer with Cognito JWT verification, Postgres-enriched role/org profiles, and role-gated UI branching entire component subtrees per user type.
Full Stack Engineer — Conqr AI (May 2025 - Jan 2026)
- Built a Legal Chatbot using RAG, leveraging PDF.js and page-wise chunking to maintain context across sections.
- Engineered an end-to-end document pipeline: scan detection, OCR on demand, chunking, and metadata-backed storage; optimised data ingestion from 5+ minutes to under a minute for ~25 documents using Go's concurrency model.
Open Source Contributor — Spacedrive (Aug 2023 - May 2025)
- Implemented 9 key features, including Copy File Path, displaying full file paths in the Inspector, Quick Preview for text files, and extended Quick Preview support with additional file types and image zooming.
Selected Projects
- Fantastic Robo — High-throughput, multi-format ingestion pipeline supporting PDFs, DOCX, PPTX, XLSX, images, and emails with adaptive extraction, OCR, semantic chunking, and embedding batching. Scalable vector search layer with HNSW-based similarity matching, dynamic Top-K and Hybrid retrieval. Production-grade LLM load balancer with smart request routing and telemetry feedback.
- Thunder Forms — State-driven form builder with drag-and-drop composition, schema-driven rendering, and an AI-assisted creation pipeline. Deep analytics pipeline aggregating event-level data into session-aware metrics (impressions, bounce rate, live users); shipped as a production SaaS with 10K+ visits.
Education
B.Tech — Information Technology and Engineering, Maharaja Agrasen Institute of Technology (2024 - 2028).
Skills
Languages: Go, JavaScript, TypeScript, Python, Java, C.
Frontend: React.js, Next.js, TanStack Query, Zustand, Redux, Framer Motion.
Backend: Node.js, Express, Bun, FastAPI, WebSockets, GraphQL, Langchain.
Generative AI: MCP, Agents, RAG, Vector DBs, LangGraph.
Databases: PostgreSQL, MongoDB, Redis, Cassandra, Prisma, Drizzle, TypeORM.
DevOps / Cloud: Docker, AWS, Cognito, S3, Lambda, CloudFront, CI/CD, DigitalOcean.
Other: DSA, Puppeteer, Chrome Extensions, Web Scraping, Discord Bots, Telegram Bots.
Full résumé PDF: https://drive.google.com/file/d/17s590R5N7Lh6oCtramv1_RdIkUGxQ87S/view. Canonical URL: https://aditya.is-a.dev/resume.