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1DS20AI004_Aditya Kumar Choubey

@1ds20ai004_adityakum

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AI Engineer specializing in agentic GenAI, LLMs, and automation systems.

India

Message

What I'm looking for

I want to build scalable, production-ready agentic GenAI/LLM solutions—RAG, evaluation, and monitoring—working in cloud-native teams where MLOps/LLMOps and data-quality automation create measurable business impact.

I’m an AI engineer with 3+ years of hands-on experience in agentic AI, Generative AI, LLMs, and applied machine learning. I build RAG and LLM evaluation pipelines using LangChain/LangGraph, embeddings, vector search, prompt engineering, and DeepEval to deliver production-ready results.

At Wipro (ConnectedServices), I researched and implemented an agentic chatbot that accelerated Data Engineering tasks by up to 50% on the Harman Genesis platform using Langgraph, Qdrant, and DeepEval. I also developed automated QC processes (45% faster decisions) and a Soc-Copilot RAG agent for cybersecurity threat analysis (30% impact), and contributed to GenAI/Python automation POCs that drove a 15% revenue increase; earlier, I built an LLMOps framework to streamline evaluation and monitoring, targeting 50% faster production.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Scientist

Current

Connected Services (Wipro)

Aug 2024 - Present (1 year 9 months)

Researched and implemented an agentic chatbot for data engineering task acceleration up to 50% using LangGraph with Qdrant and DeepEval, evaluating prompt-injection and answer relevancy. Built automated QC and a Soc-Copilot RAG agent to accelerate internal decisions by 45% and improve threat analysis by 30%, and delivered GenAI automation POCs contributing to 15% revenue growth.

LangGraph RAG Qdrant DeepEval Vector Search Prompt Engineering fastAPI LLM Evaluation Data Automation

Research Intern

Harman Connected Services

Feb 2024 - Jul 2024 (5 months)

Designed and developed an LLMOps framework integrated with existing infrastructure to streamline LLM evaluation and monitoring, targeting a 50% increase in production speed. Tested and documented model performance using Prometheus and Grafana, and supported scalable machine learning pipeline deployments for enterprise use.

LLMOps Model Evaluation Prometheus Grafana Machine Learning Pipelines Python Automation Systems

Education

Degrees, certifications, and relevant coursework

Dayananda Sagar College of Engineering

Bachelor of Engineering

2020 - 2024

Grade: 8.98 C.G.P.A

Completed a Bachelor of Engineering with a CGPA of 8.98 and presented the major project FaunaAI at the New Horizons International Research Conference. Won second prize at a college debate competition among 40+ participants.