Sreya Datta Gupta

I am a driven B.Tech CSE (AI/ML) student at Adamas University with a clear mission: transform complex, real-world problem statements into production-grade, automated solutions that sit at the intersection of hardware intelligence and cloud-deployed software.

My technical journey is defined not just by coursework but by shipping real tools. As a Systems Monitoring & Diagnostics Intern at STQC (ETDC), I engineered Python-based hardware scanners for CPU, BIOS, and TPM diagnostics - with zero hand-holding - and automated enterprise security compliance audits that reduced manual overhead and aligned with industry IT policy standards.

Currently interning at ONGC as a software engineer, I continue building on this foundation, contributing to software solutions in a high-stakes enterprise environment.

What sets me apart is my full-stack breadth paired with Al depth. I can architect a Next.js/Node.js application, design a JWT-authenticated role-based IAM system, train an ML pipeline to 98.75% accuracy, and deploy it all to the cloud- then debug it when it breaks.

I am now actively seeking opportunities in Al/ML engineering, full-stack development, or cloud-integrated software roles where I can contribute meaningfully from day one.

Software Engineer Intern at Oil and Natural Gas Corporation Limited (ONGC) (2026-06 – 2026-07)

On-site

• Built an end-to-end Well Analytics Platform consolidating scattered field files (63MB+ CSVs) into a single MySQL warehouse, replacing runtime re-parsing.
• Developed 5 analytics modules (Production, Pressure, Well Performance, ML Forecasting, NL Assistant) covering 494 wells and 11,258 well tests.
• Built ML models (Random Forest, XGBoost, LSTM) for 30-day production forecasting and reservoir-pressure breach prediction.
• Implemented RBAC with bcrypt admin auth and Google OAuth viewer access, enforced server-side on every write.

System Monitoring & Diagnostics Intern at STQC Directorate (ETDC), Govt. of India (2025-06 – 2025-07)

On-site

• Built a cross-platform Python tool for hardware diagnostics (CPU, BIOS, TPM, storage, I/O).
• Automated report generation (PDF, Excel, HTML), cutting manual documentation effort by 80%.

B.Tech in Computer Science (AI/ML Specialization) – Adamas University (2023 – 2027)

Senior Secondary (Class XII) in CBSE (2023 – 2023)

Secondary (Class X) in ICSE (2021 – 2021)