I am Sarthak Singh – AI Systems Engineer | Building Multi-Agent Systems, RAG Pipelines & LLM Applications | AWS | Backend Engineering, based in Hyderābād, Telangana, India.
AI Engineering Intern at Zephra AI (Jun 2026 to Present).
Gen AI Intern at Tickernaut (Aug 2026 to Sep 2026).
AI/ML Intern at Beeta Space Technology LLP (May 2026 to Jun 2026).
Bennett University (2023 to 2027).
Delhi Public School - India (Feb 2012 to Apr 2021).
Core strengths include DevOps, MLOps, Systems Engineering, Artificial Intelligence, Agentic AI Development, Databricks Products, Machine Learning, Python, Digital Designs, Data Analysis, Engineering, and Sponsorship.
Key certifications: Databricks Fundamentals (Jan 2026), Computer Networks and Network Security (Mar 2025), Data Analysis with Pandas and Python (Nov 2024), Data Structures (Nov 2024), Digital Electronics (Nov 2024), Databases and SQL for Data Science with Python (Oct 2024), Programming Using C++ (Oct 2024), AI Workflow: Data Analysis and Hypothesis Testing (Sep 2024).
Projects: ComplianceQAPipeline (AI video compliance auditing with Whisper, FAISS RAG, Groq LLM, LangGraph); evalforge (AI evaluation system with FastAPI, Streamlit, Supabase); jurisiq (legal contract analysis with 5 agents, LangGraph, FAISS, InLegalBERT, LLaMA 3); malware_testing (async multi‑tenant YARA scanning pipeline).
Designed and helped ship the data pipeline for a mutual fund factsheet analytics system, processing PDFs across 50+ AMCs and a decade of historical data (2015–2026).
Created a 13‑column fund‑manager insights schema from raw Gemini‑extracted PDF data.
Built and debugged an entity‑resolution layer (fuzzy AMC/scheme/manager matching with squash‑key normalization) to handle company rebrands and inconsistent naming across years of factsheets.