Open to opportunities

Akash Sharma

@akashsharma3

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LLM Engineer | RAG & Agentic AI | LangChain, FastAPI, React, Node.js, HuggingFace

India

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What I'm looking for

I'm seeking a dynamic role in a collaborative environment where I can apply my skills in AI and machine learning, contribute to innovative projects, and grow professionally.

I'm a passionate LLM Engineer with hands-on experience in building production-ready agentic AI systems using Retrieval-Augmented Generation (RAG), LangChain, and FastAPI. My recent work includes fine-tuning LLaMA 3 models, automating legal document workflows with LLMs at a LawTech startup, and building a personal AI tutor platform (CohortHive) using LangGraph.

I specialize in end-to-end pipeline development—from dataset preparation (IQA formats), fine-tuning, and evaluation to building frontend and backend integrations using React and Node.js. I’m deeply invested in deploying intelligent, hallucination-resistant systems and creating seamless user experiences backed by robust AI reasoning.

I'm currently looking for remote or hybrid opportunities where I can contribute to building next-gen AI products with high impact. Let's connect if you're hiring for LLM, RAG, or Agentic AI roles.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Aithemis

Dec 2024 - Present (6 months)

Developed a Retrieval-Augmented Generation (RAG) pipeline using LangChain and LlamaIndex’s Citation Query Engine. Automated legal case summarization and document drafting workflows using LLM chains on AWS EC2. Designed custom IQA datasets and assisted in fine-tuning legal LLMs for high-performance inference.

Lang Chain LlamaIndex AWS EC2 Python

Education

Degrees, certifications, and relevant coursework

Delhi Skill & Entrepreneurship University

Bachelor of Computer Applications, Computer Applications

Grade: 8.9 CGPA

Relevant coursework included Data Structures, Web Development, Cloud Computing, Machine Learning, DevOps, and Database Management. Also studied Operating Systems, Software Engineering, Cyber Security, Computer Architecture, Computer Networks, Data Analytics, and Visualization.