Yashdeep

Information Science undergraduate · Applied AI and Backend Systems Developer

Bangalore, Karnataka, India

@yashdeep1

0 followers

About

Information Science undergraduate building production-shaped Applied AI systems across document intelligence and multi-user RAG. Hands-on with FastAPI, PostgreSQL/pgvector, Redis/RQ, OCR, structured LLM extraction, retrieval evaluation, security controls, and containerized backend services.

Education

Information Science and Engineering

Dayananda Sagar College of Engineering

Information Science and Engineering · Oct 2024 – Jul 2028

Skills

<3 months

SQL RAG LLMs Python Docker Argon2 FastAPI Pydantic Pgvector Embeddings Tesseract Ocr Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Groq Redis Langfuse PostgreSQL

Projects

Secure Multi-User RAG Document Assistant

FastAPI, Redis/RQ, PostgreSQL/pgvector, Groq, Docker Compose, Langfuse

Multi-user RAG assistant with authentication, uploads, retrieval, and SSE streaming. Includes asynchronous document ingestion, tenant-style isolation, secret handling, retrieval evaluation, and Docker Compose deployment.
LedgerLens - AI-Assisted Supplier Invoice Reconciliation

FastAPI, PostgreSQL, Pydantic, Tesseract OCR, Groq, QLoRA, Qwen

Invoice-first exception-resolution service for validating document signatures, deduplicating files with SHA-256, and handling OCR/model inference through durable queued jobs. Built evidence-backed extraction and deterministic reconciliation across invoices, purchase orders, delivery receipts, and contracts with reviewer-gated decisions and audit trails.

🏆 Achievements & awards

Solved 330+ algorithmic problems

Solved 141+ problems on Codeforces, 60+ on CodeChef, and 100 on LeetCode.

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