
Harshit Singh
Machine Learning Engineer

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About me
Masters in CS @ UIUC - Seeking Opportunities || ML/SDE @PBC || ML @TCS || ML @Paperplane
Education

La Martinere College
2008 - 2017School
City Montessori School
2017 - 2019High School 95%
University of Illinois Urbana-Champaign
2023 - 2025Master's degree Computer ScienceCS 411 Database Systems CS 412 Data MiningCS 440 Artificial IntelligenceCS 435 Cloud NetworkingCS 467 Social VisualizationCS 598 ML and Data SystemsCS 568 User-Centered Machine LearningCS 598 Deep Generative Models

SRM University
2019 - 2023Bachelor of Technology - BTech Computer Science 9.72
Experience

Paperplane
Aug 2021 - Nov 2021Machine Learning Engineer• Fine-tuned a CART-based drug recommendation model with Bayesian optimization, improving accuracy by 15%.• Built a graph pipeline (Python, NetworkX) to map symptom-diagnosis-drug relationships, reducing manual analysis time by 20%.• Leveraged parallel processing with Scikit-Learn and JAX's vmap, boosting classification accuracy by 7% on 1M+ patient records.

Tata Consultancy Services
Jun 2022 - Sept 2022Machine Learning Engineer• Benchmarked Random Forest and XGBoost models for trading signal classification, increasing prediction accuracy by 25%.• Developed an end-to-end ETL pipeline using Python, SQL, and AWS (EC2, S3, SageMaker) to process 1M+ daily data points• Optimized LSTM-based time series forecasting with bidirectional LSTMs and attention mechanisms, improving long-range pattern recognition and reducing latency by 15% through batch inference and selective pruning.

Palm Beach County
May 2024 - Dec 2024Software Engineer• Developed scalable ML pipelines for a Retrieval-Augmented Generation (RAG) system, integrating ElasticSearch and Neural Seek toimprove chatbot response accuracy to 96% through better feature engineering and inferencing.• Optimized data workflows by implementing preprocessing pipelines (fine-tuning Granite 13B on IBM Watson) and multi-threadedingestion with Python and Selenium, reducing manual data handling by 80%.• Enhanced data and infrastructure performance by 30% for a platform serving 1.6M+ residents by optimizing SQL queries withB-Tree indexing and partitioning strategies, ensuring real-time data availability for continuous model training and RAG pipelines.• Automated operational workflows (snapshots, backups, and patch updates) using Python scripts and Oracle RMAN, reducing down time by 60% and enabling MLOps best practices for data ingestion and inferencing. Show less
Licenses & Certifications
- View certificate

Problem Solving (Basic) Certificate
HackerRankSept 2021 - View certificate

Python (Basic) Certificate
HackerRankAug 2021
Volunteer Experience
Vice Chair
Issued by Sitara Foundation on Sept 2021
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