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I am an MS Computer Science graduate from Indiana University with a specialization in AI and distributed systems. My background spans backend engineering, ML infrastructure, and full-stack development across production environments. I have built event-driven microservices handling 500+ concurrent requests, deployed ML models to edge devices, and shipped full-stack applications using React, TypeScript, Node.js, and MongoDB. My work includes a published research paper in IJIIT 2025 on language-guided AI systems, and I have professional experience across internships at STAT Institute and GNVS Institute where I owned features end to end from architecture through deployment. I work independently, communicate clearly with stakeholders, and deliver production-grade code on schedule. I am comfortable picking up new stacks quickly and have a track record of zero production bugs across 12 major releases in a fast-paced agile environment.…I am an MS Computer Science graduate from Indiana University with a specialization in AI and distributed systems. My background spans backend engineering, ML infrastructure, and full-stack development across production environments. I have built event-driven microservices handling 500+ concurrent requests, deployed ML models to edge devices, and shipped full-stack applications using React, TypeScript, Node.js, and MongoDB. My work includes a published research paper in IJIIT 2025 on language-guided AI systems, and I have professional experience across internships at STAT Institute and GNVS Institute where I owned features end to end from architecture through deployment. I work independently, communicate clearly with stakeholders, and deliver production-grade code on schedule. I am comfortable picking up new stacks quickly and have a track record of zero production bugs across 12 major releases in a fast-paced agile environment.

Manan Shah

AI Engineer, Data Scientist, Web Developer, +7

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I am an MS Computer Science graduate from Indiana University with a specialization in AI and distributed systems. My background spans backend engineering, ML infrastructure, and full-stack development across production environments. I have built event-driven microservices handling 500+ concurrent requests, deployed ML models to edge devices, and shipped full-stack applications using React, TypeScript, Node.js, and MongoDB. My work includes a published research paper in IJIIT 2025 on language-guided AI systems, and I have professional experience across internships at STAT Institute and GNVS Institute where I owned features end to end from architecture through deployment. I work independently, communicate clearly with stakeholders, and deliver production-grade code on schedule. I am comfortable picking up new stacks quickly and have a track record of zero production bugs across 12 major releases in a fast-paced agile environment.…I am an MS Computer Science graduate from Indiana University with a specialization in AI and distributed systems. My background spans backend engineering, ML infrastructure, and full-stack development across production environments. I have built event-driven microservices handling 500+ concurrent requests, deployed ML models to edge devices, and shipped full-stack applications using React, TypeScript, Node.js, and MongoDB. My work includes a published research paper in IJIIT 2025 on language-guided AI systems, and I have professional experience across internships at STAT Institute and GNVS Institute where I owned features end to end from architecture through deployment. I work independently, communicate clearly with stakeholders, and deliver production-grade code on schedule. I am comfortable picking up new stacks quickly and have a track record of zero production bugs across 12 major releases in a fast-paced agile environment.

Available to hire

I am an MS Computer Science graduate from Indiana University with a specialization in AI and distributed systems. My background spans backend engineering, ML infrastructure, and full-stack development across production environments.
I have built event-driven microservices handling 500+ concurrent requests, deployed ML models to edge devices, and shipped full-stack applications using React, TypeScript, Node.js, and MongoDB. My work includes a published research paper in IJIIT 2025 on language-guided AI systems, and I have professional experience across internships at STAT Institute and GNVS Institute where I owned features end to end from architecture through deployment.
I work independently, communicate clearly with stakeholders, and deliver production-grade code on schedule. I am comfortable picking up new stacks quickly and have a track record of zero production bugs across 12 major releases in a fast-paced agile environment.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Research Assistant at NMIMS University

December 1, 2023 - May 1, 2024

Identified and resolved critical disk I/O bottlenecks by architecting an event-driven, distributed data pipeline using Python multiprocessing and OOP design patterns; optimized multi-threaded data streaming to reduce processing cycle times by 61%. Implemented multi-view OpenCV camera pose alignment with algorithmic optimization, reducing visual artifacts by 28%. Refactored core algorithms to enhance 3D robotics environment generation, improving spatial mapping accuracy from 67% to 82%. Maintained YAML-config-as-code for 200+ reproducible tests with Git version control; co-authored the IJIIT 2025 research paper.

Machine Learning Engineer Intern at STAT Institute

May 1, 2023 - October 1, 2023

Designed scalable microservices backend with REST & GraphQL APIs for ONNX model deployment across distributed edge devices, implementing Redis caching strategies to cut inference latency to 195ms while supporting large-scale quantitative research workflows. Elevated operational excellence by debugging infrastructure bottlenecks on AWS EC2; engineered custom CloudWatch metrics and alarm thresholds, reducing false-positive alerts by 19% and mitigating developer fatigue. Engineered event-driven forecasting microservice via Temporal Fusion Transformer model, improving 7-day prediction accuracy by 35%. Built Power BI reporting dashboards to visualize forecasting model performance and portfolio return metrics for the quantitative research team. Executed 50K+ NumPy batch processes on historical stock data using algorithmic optimization techniques to raise returns to 18%.

Software Engineer Intern at GNVS Institute

December 1, 2022 - May 1, 2023

Led parallel development of an Android Studio app in Java & Kotlin alongside a cross-platform Flutter/Dart app, delivering job search, profile matching, and messaging workflow features for students and recruiters across 8 Agile Scrum sprints with code reviews and CI/CD automation. Integrated secure Firebase Authentication with OAuth and Firestore NoSQL database for robust user login and real-time data syncing. Rebuilt application UI components with TDD, unit testing and integration testing, enabling full iOS cross-platform support. Managed Git version control and JIRA CI/CD pipeline with Jenkins, coordinating 12 major releases with zero production bugs.