Open to opportunities

shubham kumar jha

@shubhamkumarjha

Message

Machine learning-focused software engineer skilled in building production AI systems.

India

Message

What I'm looking for

I seek a role building and deploying ML/NLP systems in collaborative teams, with opportunities to work on production pipelines, improve model performance, and grow in ML engineering and MLOps.

I am a machine learning-focused software engineer with hands-on experience designing and deploying production-grade AI systems, including RAG pipelines, multi-agent frameworks, and scalable NLP services. I have built solutions that significantly improved query response times, retrieval accuracy, and customer support automation while maintaining high customer satisfaction.

My background includes a B.Tech in Computer Science with a specialization in Machine Learning and a strong practical toolkit—Python, TensorFlow, Scikit-learn, LangChain, and vector-search techniques. I regularly compete on Kaggle and prioritize delivering robust, efficient models and API-driven applications that perform reliably at scale.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer Intern

Current

Amazon

Dec 2024 - Present (1 year 6 months)

Architected a multi-agent AI customer support system using LangChain and Gemini that autonomously resolved 87% of queries and reduced resolution time by 63%, while decreasing escalation rates by 41% and maintaining 92% customer satisfaction.

Lang Chain Gemini Agentic Systems Python REST APIs

NLP/ML Project Lead

Academic Projects

Developed sentiment analysis and RAG projects achieving 89% classification accuracy and a 42% reduction in query response time by optimizing embeddings and retrieval pipelines; deployed a Flask app serving 200+ concurrent requests with 98% uptime.

Python XGBoost Random Forest MiniLM L6 V2 Sentence Transformers Flask Embeddings Vector Search Model Evaluation

Education

Degrees, certifications, and relevant coursework

Gautam Buddha University

Bachelor of Technology, Computer Science

2022 -

Grade: 7.2/10

Activities and societies: Relevant coursework in supervised/unsupervised learning, neural networks, NLP; projects in RAG pipelines, multi-agent systems, and sentiment analysis; active Kaggle competitor.

Pursuing a Bachelor of Technology in Computer Science with a specialization in Machine Learning and a CGPA of 7.2/10.