Building customer-facing agent capabilities at Walmart using MCP-style skills and tool integrations.
Delivered production ML and LLM systems across Walmart, ZS, and research environments with measurable business impact.
Published and presented research in imaging, optimization, and biomedical signal modeling.
I work at the intersection of applied AI, machine learning systems, and research engineering. My background spans production ML, agentic workflows, experimentation platforms, and optimization-heavy research problems. Explore my projects to see how I build, or read my articles for a deeper view into how I think about systems, modeling, and engineering tradeoffs.
Project Highlights
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A tiny scalar-valued autograd engine and neural network stack in C++, built to understand automatic differentiation and low-level deep learning mechanics.
- AI
- ML
- Machine Learning
- + more
Selected Experience
Walmart Global Tech
Data Scientist III
Feb 2026 - Present
Building applied AI capabilities for customer assistance by enabling Super Agents with MCP-style servers, skills, and tool integrations that support task execution and richer agent workflows.
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University at Buffalo
Research Assistant
Aug 2025 - Dec 2025
Developed quantitative sampling-coverage metrics and optimized physics-based imaging systems through 3D simulation, vectorized PyTorch ray-tracing (85% speedup), and Bayesian optimization for large configuration search, enabling scalable experimental workflows and contributing to publications at SPIE Imaging, UNYAPM, and IEEE TMI.
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Data Science Intern
Jun 2025 - Aug 2025
Built and deployed large-scale ML/LLM systems for content understanding, distribution-shift monitoring, automated evaluation, and personalized feature ranking, extracting high-signal insights from thousands of artifacts while reducing manual effort by 95% and delivering autoscaled real-time performance on GCP.
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ZS Associates
Data Science Associate
Jun 2022 - Jul 2024
Developed large-scale PySpark/Hadoop pipelines and XGBoost-based prioritization models to power product analytics and next-best-engagement decisions, reducing rep workload by 20%, improving targeting accuracy, and driving $100K+ incremental revenue through data-driven customer-level actions.
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Lakebrains Technologies
Machine Learning Intern
May 2020 - Jul 2020
Engineered real-time edge-compute systems combining face recognition with motion-detection–based activity recognition, optimized and deployed on Raspberry Pi and Jetson Nano for efficient, low-latency performance.
National Institute of Technology Hamirpur
Research Assistant — Biometric Signal Analysis
Aug 2020 - Jun 2022
Conducted research on ECG and PPG signal processing for non-invasive blood pressure estimation, implementing hybrid neural network models and validating performance on the MIMIC-II dataset.
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Additional roles that reflect how I contribute beyond core engineering work: organizing teams, representing peers, and building communities.
Coordinated with companies and students to streamline the on-campus recruitment process, managed data for candidate shortlisting, and supported logistics for placement drives.
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Led the official dance club, organized cultural events and performances, managed team operations, and represented the institute in inter-college competitions.
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