I build the unglamorous parts, because those are what survive production

Graduate Teaching Assistant. DAMG 7374

Northeastern University

Jan 2026 – Apr 2026

Boston, MA

• Teaching assistant for Data Engineering: Impact of Generative AI with LLMs, under Professor Kishore Aaradhya, supporting 26 engineers across 9 concurrent team projects.
• Administered the Snowflake environment underpinning all nine projects, provisioning role-based access and compute warehouses, and resolving reliability issues before they blocked delivery.
• Authored and maintained the five course labs, taking students from Snowflake and dbt fundamentals through agent routing, parallel execution and multi-agent reflection.
• Diagnosed team failures by tracing records from source through each transformation layer, which is the skill most of them were missing rather than any framework knowledge.
• Reviewed pull requests against shared engineering standards and wrote documentation on data models, metric definitions and transformation logic.
• Designed evaluation rubrics that turned vague quality questions into measurable checks teams could apply to their own AI systems.

Machine Learning Research Assistant

CVR Research Lab

Jan 2024 – May 2024

Hyderabad, India

• Developed and evaluated classification systems in Python and PyTorch for network threat detection, through iterative feature engineering and model tuning.
• Published two peer-reviewed papers documenting system design, tradeoffs and evaluation methodology, one on DDoS detection using SMOTE-balanced classifiers, one on Android malware detection with deep neural networks.
• Built reproducible training and evaluation pipelines with automated regression detection, turning manual verification into a repeatable process.
• This is where I learned that a number is only meaningful if you can explain what it does and does not tell you, the habit that later made me validate an LLM judge against human labels rather than trusting its scores.

Full-Stack Engineering Intern

AIThinkers

Jan 2023 – Dec 2023

Hyderabad, India

• Shipped production full-stack features and backend APIs at an early-stage startup, owning delivery from specification through deployment and monitoring.
• Diagnosed a silent data-corruption defect through systematic log analysis and profiling, then shipped a targeted fix that eliminated a recurring class of downstream errors.
• Worked directly with product and engineering stakeholders to clarify requirements and iterate under startup timelines.