Experience
Hands-on research and engineering at IIT Delhi HPC Lab, IIT Bhilai MIST Lab, 797th LLC, and Amazon ML Summer School.
[RESEARCH & ENGINEERING POSITIONS]
POSITION 01 // Supercomputer Queue Wait-Time Prediction & Telemetry
Project Intern (High-Performance Computing)
IIT Delhi HPC Lab
DEC 2025 — JAN 2026
Engineered predictive machine learning pipelines analyzing supercomputing cluster workload queues and scheduler wait times.
TECHNICAL_CONTRIBUTIONS
- Developed a tree-based machine learning pipeline for supercomputer queue wait-time prediction using 150,000+ scheduler job logs.
- Achieved 93% prediction accuracy across variable cluster loads, helping optimize job batch dispatching.
- Profiled PBS scheduler job allocations, memory constraints, and core utilization across compute nodes.
PythonHPC ArchitecturePBS SchedulerScikit-LearnSlurmData Analytics
POSITION 02 // Generative Computer Vision & Sequential Face Prediction
Research Intern
IIT Bhilai MIST Lab
JUNE 2026 — JULY 2026
Research on deep generative modeling for progressive demographic age and facial feature synthesis.
TECHNICAL_CONTRIBUTIONS
- Constructed a Child Face Prediction System with sequential age progression and demographic modeling.
- Leveraged StyleGAN architectures and latent space manipulation for high-fidelity facial synthesis.
- Optimized PyTorch inference checkpoints for GPU-accelerated batch generation.
PyTorchStyleGANComputer VisionDeep LearningGANsCUDA
POSITION 03 // Agentic Discovery Platforms & Distributed Search
Software Engineering Intern
797th LLC
JULY 2026 — AUGUST 2026
Built core search and data ingestion services for an autonomous people and research discovery platform.
TECHNICAL_CONTRIBUTIONS
- Engineered backend integration pipelines leveraging SearXNG for privacy-preserving distributed multi-engine queries.
- Implemented structured entity extraction and asynchronous API middleware.
- Optimized query response latencies and caching layers for concurrent search streams.
PythonSearXNGREST APIsDockerAsyncIOPostgreSQL
POSITION 04 // Advanced Machine Learning & Applied AI
Selected Cohort Scholar
Amazon ML Summer School
JULY 2026 — AUGUST 2026
Selected through competitive technical evaluation for Amazon's flagship machine learning program.
TECHNICAL_CONTRIBUTIONS
- Attended exclusive masterclasses with Amazon AI scientists on deep learning, generative AI, and scalable ML systems.
- Completed rigorous applied case studies on large-scale model architectures and recommendation systems.
Machine LearningDeep LearningScalable SystemsTransformers
IEEE Publications (2025)
Application of Quantum Technologies for Metro System Efficiency, Enhancement and Optimization
Domain: Quantum Computing & Autonomous Transit Optimization
AI-Driven Guardrails for Autonomy: Federated Learning with Quantum Search to Enhance Passenger Safety
Domain: Federated Learning & Safety Verification
Q-SHIELD: A Quantum Safety-Aware Heuristic for Intelligent Evasive Lane Decision-Making in Autonomous Vehicles
Domain: Quantum Heuristics & Autonomous Systems
Honors & Certifications
- ★Chancellor's Award for Excellence in Undergraduate Research (2026)
- ★Research Day Silver Medal, CTECH (2026)
- ★1st Prize, Hypercompute HPC Hackathon (2026)
- ★Best Student Award, CTECH (2026)
- ★NVIDIA Certified: Fundamentals of Accelerated Computing with CUDA Python