
Ankit Singh
@ankitsingh39
I build production-ready AI systems using LLMs, RAG pipelines, agent orchestration, and Python.
What I'm looking for
I build AI/ML applications around language models, Retrieval-Augmented Generation, and agentic workflows. My work combines Python, LangChain, LangGraph, FastAPI, Streamlit, and production-oriented deployment.
I built an autonomous research agent with LangGraph that uses live web search, calculation, memory, retry-with-backoff, and step budgets to support reliable multi-turn research. I deployed it as a FastAPI REST service and Streamlit application with defensive tool-boundary error handling.
I’ve also built a document Q&A chatbot grounded in vector-database retrieval and fine-tuned BERT/DistilBERT models with PEFT/LoRA for domain-specific classification. My work is supported by IEEE publications spanning NLP, depression detection from social media text, and real-time anomaly detection.
Experience
Work history, roles, and key accomplishments
Autonomous Research Agent
Personal Project
Jul 2026 - Sep 2026 (2 months)
Built a multi-step autonomous agent using LangGraph with tool calling, retry-with-backoff, and a step budget. Deployed as a FastAPI REST service and a live Streamlit application.
RAG-Based AI Chatbot Developer
Personal Project
Apr 2026 - Jun 2026 (2 months)
Built a Retrieval-Augmented Generation pipeline that indexes documents into a vector database and grounds LLM responses in retrieved context. Deployed via FastAPI backend with a chat interface.
Fine-Tuning Transformer Model
Personal Project
Jan 2026 - Mar 2026 (2 months)
Fine-tuned a pre-trained transformer (BERT/DistilBERT) using Hugging Face Transformers and PEFT (LoRA) for domain-specific text classification. Built data preprocessing, tokenization, and training pipeline.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science and Engineering
2021 - 2025
Grade: 7.5/10
Pursued a Bachelor of Engineering in Computer Science and Engineering, achieving a CGPA of 7.5/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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