Manish M

Data Analysis & AI Intern

Bangalore, KASoftware Development, Data Analysis, Artificial Intelligence and Machine Learning
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1roles
32skills
1education
5credentials

About

Motivated Computer Science graduate with a strong foundation in Data Structures and Algorithms, Object-Oriented Programming, and the Software Development Life Cycle. Skilled in building scalable full-stack applications and Python-based automation pipelines with structured error handling, REST API integration, and collaborative Agile development.

Experience

Data Analysis & AI Intern

Incanto Dynamics

Feb 2026 – Present · Bangalore, KA

Developed and maintained Python-based automation pipelines using Pandas and Scikit-learn, implementing unit tests and structured error handling to ensure data integrity across workflows. Designed REST API-driven data enrichment workflows integrating third-party sources, reducing manual reporting effort by approximately 30% and improving data processing turnaround time. Built trigger-based automation scripts with conditional routing logic to transform and synchronize datasets across internal systems, following standard SDLC practices from requirements gathering to deployment. Collaborated with business and engineering teams in Agile sprints to translate requirements into well-documented, monitored automation pipelines with comprehensive logging.

Education

Shri Madhwa Vadiraja Institute of Technology and Management

BE, Computer Science and Engineering

Aug 2022 – May 2026

CGPA: 7.6/10. Relevant coursework: Data Structures and Algorithms, Object-Oriented Programming, DBMS, Operating Systems, Software Engineering, Artificial Intelligence, Machine Learning, Web Technologies, Computer Networks.

Skills

PythonJavaJavaScriptTypeScriptSQLData Structures and AlgorithmsObject-Oriented ProgrammingDBMSSoftware TestingDebuggingFastAPINode.jsExpress.jsReact.jsScikit-learnPandasNumPyPostgreSQLMySQLMongoDBRedisGitGitHubDockerPostmanREST APIsVercelSystem DesignGemini APIGenerative AIGoogle AI StudioMachine Learning

Projects

AI-Powered Virtual Try-On and Stylist

FastAPI, Python, React, Gemini API. Architected a modular FastAPI backend handling 500+ concurrent requests with under 2-second response time, implementing asynchronous processing, structured logging, and event-driven status callbacks. Reduced failed AI requests by 40% through robust input validation, structured error-handling pipelines, and systematic debugging of language model prompt orchestration modules. Built end-to-end image pre-processing and response transformation scripts, demonstrating clean code practices, OOP design patterns, and comprehensive API documentation.

F1 Telemetry and Strategy AI Dashboard

React, TypeScript, Scikit-learn, Gemini API. Designed a real-time data ingestion pipeline processing 10,000+ telemetry data points per session, applying data cleaning, feature engineering, and transformation for downstream ML modules. Implemented K-Means clustering to classify 3 driving styles with 85% accuracy and integrated results into Gemini API for automated natural-language race strategy report generation. Managed the end-to-end project life cycle using Git version control and Agile task tracking, ensuring reproducible builds and consistent software delivery.

AI-Powered Skill Bartering Platform

MERN Stack, Python, WebRTC, PostgreSQL, Redis. Architected a full-stack platform serving 200+ active users with microservices architecture; built a Python-based AI matching engine using Gemini API, achieving 90% user satisfaction. Deployed Redis-backed caching to scale to 1,000+ concurrent connections, optimizing throughput and reducing API latency for real-time chat and video sessions. Integrated WebRTC via REST API signaling, reducing server bandwidth by 70% while maintaining under 150 ms latency, demonstrating multi-service API integration and system design skills.