Seeking Summer 2026 Internships (May-Aug) and Co-ops (July-Dec) in ML Systems & Engineering, MLOps, and Data Science
MS Data Science @ UW-Madison | Ex-Senior Software Engineer @ Bosch Global Software Technologies
I am a Master's in Data Science student at the University of Wisconsin-Madison with 2+ years of industry experience building machine learning systems in production at Bosch (ADAS).
My core strengths are in designing, scaling, and operating production-grade ML systems, with a strong focus on the engineering side of AI. I enjoy working at the intersection of machine learning, software engineering, and cloud infrastructure.
I am actively seeking Summer 2026 Internships (May-Aug) and Co-ops (July-Dec) in Machine Learning Engineering, MLOps, and Data Science.
End-to-end automation ( Azure ML Studio, MLflow, DVC) enabling multi-team model training at scale, reduced GPU costs by 60%.
Scaling Ray Clusters on Kubernetes (AKS) to reduce training cycles by 75%.
Engineering 60M+ image retrieval systems (CLIP + ElasticSearch) for ADAS data discovery.
Course: CS564 - Database Management Systems
Course: CS203: Statistics for Data Science
Selected for the Qualcomm Track at the UW-Madison MadData 26 Hackathon (1 of 10 teams selected from 350+ registrants).
Air-gapped AI security auditor running 100% on-device (Snapdragon X Elite NPU). Detects legal risks and code vulnerabilities using local Llama 3.2 & RAG without cloud data leaks.
Predicted Big-O complexity using static analysis and BiLSTM over AST graph embeddings with 96% accuracy. (Springer 2023)
End-to-end MLOps lifecycle on Azure. Enabled multi-GPU training and reduced cloud costs by 60%.
Optimization techniques to break columnar transposition ciphers using Natural Language (IEEE SmartGenCon).
Designed a Ray Cluster system on AKS, reducing retraining cycles by 75% (4 weeks → 1 week) for 30+ teams.
Engineered an image retrieval pipeline using Scene Graphs (Hugging Face Transformers + Foundation Models) to generate fine-grained datasets, improving corner-case discovery for complex driving scenarios.
Competed in UW-Madison's 3 Minute Thesis, distilling complex research on autonomous driving corner cases for a non-technical audience (2025).
Ranked 1st among 150+ engineers in Data Engineering at Bosch (2024).
Recognized for technical excellence at the Bosch Data Engineering Dept Meeting (2024).
Guided candidates with disabilities in tech interviews (Youth4Jobs) and taught CS to underprivileged children (2023-2025).
Supported elephant habitat restoration and agricultural initiatives funding stipends for differently-abled individuals (2023-2025).
Distinction Award (Semesters 3-6) (2020-2022).
MRD Scholarship (40% tuition scholarship for Top 20% of 1100+ students) (2020).