Work Experience

Artificial Intelligence Research Intern

Qualcomm · Internship

• Engineered graph-level ONNX quantization using AIMET-ONNX for Large Vision Models (SSD-1B, LCM, LoRA), cutting base-model pipeline runtime by 37%.

• Preserved float precision in 8/16-bit conversion across UNet, VAE, and Text Encoders while maintaining >99.3% precision retention.

• Optimized multi-adapter LoRA quantization, boosting accuracy by 9.8% and reducing per-adapter latency by 10.4%.

• Built an ONNX Runtime (ORT) execution wrapper and test suite to seamlessly execute and evaluate QDQ models, driving a 1.6× pipeline speedup.

Graduate Teaching Assistant

Columbia University

Instructed graduate students in Foundations of Climate Data Science, holding office hours and grading coursework on climate modeling and data science.

Graduate Research Assistant

Columbia University · Research

Architected a Knowledge Graph and AI Agent framework for climate data workflows, cutting manual data discovery time by 65%.

Engineered NLP-powered agents automating access to 12+ climate datasets, reducing setup time from 4 hours to <20 minutes.

Co-authored research paper published at IEEE CAI 2026, Spain.

Executive Data Scientist

NielsenIQ - Global Centre for Statistical Research and Data Science

Applied ML/DL on Sentinel-2 satellite imagery and tabular data to optimize retail market estimation, boosting accuracy by 18% over baseline for global teams in Europe, GCC, APAC regions.

Built a land-use ensemble pipeline integrating Open Street Map, Google API data to predict store counts across 14 countries, reducing field surveys by 40%.

Data Scientist

NielsenIQ - India Data Science Market Leaders

Partnered with top Fast Moving Consumer Goods clients for delivering predictive insights and consumer purchasing trends, cutting insight turnaround time by 30% for 8 key accounts in the competitive Indian retail market.

Data Science Intern

Internshala

• Monitored and analyzed core product metrics for a platform serving 5M+ students and 100,000+ employers, identifying 3 critical funnel drop-off points that informed a product roadmap resulting in a 12% improvement in internship application conversion rate.

• Designed and executed A/B experiments testing 6 business hypotheses across user segments, delivering statistical findings to stakeholders that guided 2 major product feature rollouts.

Data Science & Software Engineering Intern

Lulu International Exchange

Data Science: Analysed transactional records for multi-country corridor operations in Qatar, Singapore and more.

Software Engineering: Worked on integration of Partner Banks using Java, SpringBoot, Microservices (RESTful APIs) and Docker.

Summer Intern

MateLabs

Explored the domain of AutoML and worked on real-world use cases. Participated in an in-house Kaggle Competition to sharpen ML skills and helped develop content for various use cases.