PROFILE
Summary
AI-focused B.Tech CSE student with research and applied experience in ML, cloud data platforms, and data analytics. Designed enterprise GCP/Snowflake architectures at EY; built production-grade AI applications. Published inventor with multiple patents and 4 accepted research papers. Hands-on experience at EY, MPIB & TAPMI, IIM Calcutta, Innomotics (Siemens), and Birla Corp.
Education
Manipal Institute of Technology
2023 — 2027B.Tech CSE (AI) — CGPA: 8.83/10.0
Experience
Ernst & Young (EY)
June 2026 — July 2026Tech Consulting Intern
Kolkata, India- Designed end-to-end GCP × Snowflake enterprise data lakehouse architectures, producing SOWs and technical blueprints covering ingestion (Datastream, Pub/Sub), transformation (Dataflow, Dataproc), and serving (BigQuery, Snowpark) layers for client engagements.
- Architected CDC pipelines using PySpark on Databricks with Bronze-Silver-Gold medallion patterns; integrated Snowflake Dynamic Tables and Snowpark ML for downstream model serving.
- Mapped multi-source ingestion flows (CRM, CMS, Mobile, Partner APIs) via Cloud Interconnect and Snowpipe Streaming into client-facing presales architecture diagrams used in active engagements.
TAPMI - Max Planck Institute Partner Group
Oct 2025 — July 2026Research Associate
Manipal / Berlin- Lead Engineer for "Risk Chat Arena": Architected a scalable Streamlit backend handling 50+ concurrent threads to benchmark Generative AI risk communication via parallel inference across 6 Frontier Models.
- Built a specialized Retrieval-Augmented Generation (RAG) pipeline utilizing Vector Embeddings to parse unstructured financial factsheets with 90% semantic retrieval accuracy.
- Implemented a blind A/B testing interface allowing experts to generate evaluation data points, automating logging via Pandas to reduce data aggregation time by 40%.
Indian Institute of Management (IIM), Calcutta
May 2025 — July 2025Research Intern
Kolkata, India- Analyzed market dynamics across 100+ stocks by processing diverse historical datasets.
- Engineered Python pipelines to ingest, standardize, and process over 1 million data rows from Yahoo Finance, NSE, and BSE.
- Automated abnormal return calculations, identifying 20%+ anomalous movements in backtests to flag potential misinformation/disinformation.
Innomotics (formerly Siemens)
June 2025 — July 2025Automation Intern
Mumbai/Remote, India- Resolved data processing inefficiencies from 100+ legacy spreadsheets, automating data cleaning with Python (Pandas) to save 8+ hours per week.
- Developed a Real-Time Predictive Maintenance Dashboard (Flask, Chart.js) for cement kiln sensors, utilizing Linear Regression to forecast anomalies 7 steps ahead.
- Simulated OPC-UA/Modbus industrial data streams to process high-frequency sensor feeds, reducing manual monitoring efforts by 80%.
Birla Corp, MP Birla Cement
June 2024 — July 2024Technical Intern
Kolkata, India- Identified and proposed data-driven strategies that increased sustainability and improved operational efficiency by 15%.
- Researched and presented AI/IoT solutions to senior management; analyzed 10,000+ sales data rows using Power BI.
- Authored a strategic sustainability report adopted for internal planning and delivered 5+ dashboards revealing key business trends.
Technical Arsenal
C
Java
Python
Swift
PyTorch
Scikit-Learn
TensorFlow
NumPy
Pandas
Matplotlib
MongoDB
MySQL
Figma
Deep Learning