Shankar Kumar

AI Researcher

Samastipur, Bihar, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed and deployed 25+ production-grade ML systems.
Expert in LLM and RAG systems with a focus on reliability.
Strong background in AI applications and automation.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in LLM and RAG systems.

Contact

Skills

Core Skills

Machine LearningAi

Other Skills

Python (Programming Language)LLMsOpenAI APIsLangChainFastAPIRAGVector DatabasesVector DB retrievalLLM agentsCNNsEvaluation harnessesOpenAI APINatural Language Processing (NLP)Data SciencePyTorch

About

AI/ML Engineer specialising in production LLM & RAG systems. I design, deploy, and maintain end-to-end ML systems used for retrieval, evaluation, and async workflows - with a strong focus on reliability, reproducibility, and CI-driven evaluation. What I work with: • LLMs, RAG, vector databases • FastAPI, Docker, CI/CD • Async pipelines, evaluation harnesses I’ve shipped 25+ ML/LLM systems. Open to AI/ML roles.

Experience

Upwork

AI Engineer | LLMs, RAG Systems & AI Agents

Nov 2025 – Present · 4 mos · remote · Remote

Designing and developing AI-powered applications using LLMs and Machine Learning
Built Retrieval-Augmented Generation (RAG) systems using vector databases and embeddings
Developed AI chatbots and assistants using OpenAI APIs and LangChain
Created scalable backend APIs using FastAPI for AI applications
Worked on data preprocessing, model training, and evaluation using Python (scikit-learn, pandas)
Deployed AI solutions and integrated them into real-world workflows
Focused on automation, intelligent systems, and high-performance AI pipelines

Python (Programming Language)Machine LearningAI

Https://github.com/shank312

AI/ML Engineer

Jun 2025 – Present · 9 mos · Delhi, India · Hybrid

Designed, built, deployed and tested 25+ production-grade ML/DL systems including RAG, vector DB retrieval, LLM agents, CNNs and evaluation harnesses.
Designing System Design case studies (Scalable URL Shortener, Distributed Cache, etc.).
Contributing to GitHub open-source repos daily.
Kaggle competition participation + reproducible notebooks.
Solving Leetcode problems (DSA mastery).

Machine LearningAI