Rudra Sharma
@rudrasharma3
I build fast AI applications, RAG systems, and scalable data pipelines for production workflows.
IndiaWhat I'm looking for
At BytePX, I architected DataPurge Studio, an asynchronous multi-tenant SaaS data engine that processes complex multi-sheet workbooks in under two minutes with 99.9% accuracy and a 15x–20x speedup. I also built Databricks and Apache Spark pipelines that reduced multi-format document processing time by 90%.
At UltraTech Cement’s Birla White, I built Birbal 2.0, a multilingual RAG chatbot for technical documentation, reducing employee query response latency by 95% and improving regional workflow efficiency by 60%. I’ve also delivered client ML solutions using Random Forest, SHAP, and IBM watsonx.
I build with Python, FastAPI, Spark, PostgreSQL, and modern ML tooling. My projects include a hybrid RAG platform with Qdrant and Rank-BM25, an enterprise data integration platform, and ML models for delivery prediction and healthcare diagnostics.
Experience
Work history, roles, and key accomplishments
Data Engineering Intern
BytePX
Mar 2026 - Present (6 months)
Architected DataPurge Studio SaaS, an asynchronous multi-tenant data engine using FastAPI and PostgreSQL, achieving a 15x-20x speedup. Engineered Databricks and Apache Spark pipelines, and executed end-to-end client ML delivery with Random Forest and SHAP.
Generative AI Intern
SmartBridge
Jun 2025 - Jul 2025 (1 month)
Built and deployed Generative AI architectures using FastAPI and Google Gemini APIs, experimenting with VAEs, GANs, BERT, and LSTMs. Completed 60+ hours of advanced training and earned 25+ Google Cloud badges.
AI & ML Intern
UltraTech Cement Ltd. [Birla White]
Jun 2025 - Jul 2025 (1 month)
Engineered 'Birbal 2.0', an enterprise AI-powered multilingual chatbot using FastAPI and an LLM-powered RAG pipeline. Slashed employee query response latency by 95% and integrated bilingual support.
Education
Degrees, certifications, and relevant coursework
University of Petroleum and Energy Studies (UPES)
B.Tech, Computer Science (AIML)
2022 - 2026
Grade: 8/10
Pursued a B.Tech in Computer Science with a specialization in Artificial Intelligence and Machine Learning, achieving a CGPA of 8/10.
St. Anselm’s School, Mansarovar, Jaipur
12th CBSE Board, Science (PCM)
2019 - 2022
Grade: 93%
Completed 12th grade under the CBSE board with a focus on Physics, Chemistry, and Mathematics, achieving 93%.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Skills
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