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I’m a data science and software engineering enthusiast with a solid foundation in electronics and telecommunication. I’m currently pursuing a Master of Science in Applied Data Science at the University of Southern California, building expertise in machine learning, NLP, and data engineering. I enjoy turning complex data problems into scalable, production-ready solutions and collaborating across teams to ship impactful results. In my spare time I contribute to side projects and open-source, exploring end-to-end AI-enabled applications and documenting learnings to help others grow. I’m energized by learning new tools, optimizing models for real-world performance, and delivering clean, maintainable code.…I’m a data science and software engineering enthusiast with a solid foundation in electronics and telecommunication. I’m currently pursuing a Master of Science in Applied Data Science at the University of Southern California, building expertise in machine learning, NLP, and data engineering. I enjoy turning complex data problems into scalable, production-ready solutions and collaborating across teams to ship impactful results. In my spare time I contribute to side projects and open-source, exploring end-to-end AI-enabled applications and documenting learnings to help others grow. I’m energized by learning new tools, optimizing models for real-world performance, and delivering clean, maintainable code.

Manasi Thonte

Data Scientist, AI Engineer, Full Stack Developer, +3

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I’m a data science and software engineering enthusiast with a solid foundation in electronics and telecommunication. I’m currently pursuing a Master of Science in Applied Data Science at the University of Southern California, building expertise in machine learning, NLP, and data engineering. I enjoy turning complex data problems into scalable, production-ready solutions and collaborating across teams to ship impactful results. In my spare time I contribute to side projects and open-source, exploring end-to-end AI-enabled applications and documenting learnings to help others grow. I’m energized by learning new tools, optimizing models for real-world performance, and delivering clean, maintainable code.…I’m a data science and software engineering enthusiast with a solid foundation in electronics and telecommunication. I’m currently pursuing a Master of Science in Applied Data Science at the University of Southern California, building expertise in machine learning, NLP, and data engineering. I enjoy turning complex data problems into scalable, production-ready solutions and collaborating across teams to ship impactful results. In my spare time I contribute to side projects and open-source, exploring end-to-end AI-enabled applications and documenting learnings to help others grow. I’m energized by learning new tools, optimizing models for real-world performance, and delivering clean, maintainable code.

Available to hire

I’m a data science and software engineering enthusiast with a solid foundation in electronics and telecommunication. I’m currently pursuing a Master of Science in Applied Data Science at the University of Southern California, building expertise in machine learning, NLP, and data engineering. I enjoy turning complex data problems into scalable, production-ready solutions and collaborating across teams to ship impactful results.

In my spare time I contribute to side projects and open-source, exploring end-to-end AI-enabled applications and documenting learnings to help others grow. I’m energized by learning new tools, optimizing models for real-world performance, and delivering clean, maintainable code.

Skills

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Work Experience

Machine Learning Engineer Intern at ALLY AI

August 1, 2025 - December 31, 2025

Implemented a topology-aware distributed scheduler using FastAPI and OR-Tools, improving resource utilization by 25%. Developed a DAG-analysis pipeline (100+ layers) to identify compute and memory bottlenecks. Created a real-time telemetry pipeline with up to 200 ms update latency across distributed systems. Built a modular Python testing framework, achieving 85% test coverage and 20% fewer deployment failures.

Research Assistant at USC Viterbi School of Engineering

September 1, 2024 - May 31, 2025

Architected an end-to-end MRI processing pipeline extracting 200+ neuroanatomical features from 10,000+ scans. Integrated FSL-based normalization and artifact correction, boosting MRI signal quality and consistency by 30%. Implemented GAN-based MRI enhancement (1.5T → 3T), improving classification accuracy by 10%. Applied dimensionality reduction (PCA, t-SN E) and CNN-based classifiers, achieving 94% accuracy on autism-detection benchmarks.

Data Analyst at HDFC Bank

August 1, 2022 - November 30, 2023

Automated model validation and deployment using Jenkins and Selenium, reducing QA time by 40%. Enhanced SQL validation and indexing logic, decreasing pipeline runtime by 30% across 10+ data sets. Built a Python automation framework to minimize configuration errors across 100+ deployments. Developed a Python-based FIX protocol testing tool, shortening time-to-market by 20%.

Machine Learning Intern at Ally AI

June 1, 2025 - August 1, 2025

Engineered an LLM-based contract evaluation system, shortening review time by 40% with KPI-level scoring.

Machine Learning Intern at Ally AI

August 1, 2025 - December 1, 2025

Architected an AI-powered property discovery system (Python, Redis caching), cutting search latency by 20%. Designed and deployed a retrieval pipeline (vector search + crawling), achieving 35% faster query responses. Delivered an observability dashboard for LLM systems, accelerating issue detection by 30%.