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AI Engineer with less than a year in Python, ML, and web development
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As an aspiring AI/ML Engineer pursuing a B.Tech in Metallurgical and Materials Engineering at IIT Kharagpur, I possess a strong foundation in Python, machine learning, and data analysis. I have actively applied my skills in developing a demand-aware route recommendation system for ride-sharing, building a multi-agent AI software engineering system with LangGraph, and creating a dynamic nested form application using React. My academic background and hands-on project experience demonstrate a keen interest in leveraging AI for practical solutions and a solid understanding of full-stack development principles.
IIT Kharagpur
B.Tech (Hons.) · Metallurgical and Materials Engineering
August 1, 2023 – June 30, 2027
S.R Public Sr. Sec. School (CBSE)
Class XII
June 1, 2021 – May 31, 2022
S.R Public Sr. Sec. School (CBSE)
Class X
June 1, 2019 – May 31, 2020
IIM Mumbai
Research Intern
June 1, 2026 – Present
India
Demand-Aware Route Recommendation for Ride-Sharing Drivers
June 1, 2026 – Present
Working on adapting a GCN-LSTM based spatio-temporal taxi demand prediction framework, originally developed for Chinese taxi systems, to Indian ride-sharing ecosystems. Developing a demand-aware route recommendation system for Bengaluru ride-sharing drivers using graph-based mobility learning and temporal demand forecasting. Utilizing Graph Convolutional Networks (GCN) to model spatial connectivity between mobility hotspots and LSTM networks to capture temporal ride demand patterns. Processing and analyzing 50,000+ ride records containing pickup/drop locations, ride status, timestamps, and fare attributes for demand forecasting and hotspot identification.
AI App Builder using LangGraph
May 1, 2026 – May 31, 2026
Built a multi-agent AI software engineering system using LangGraph, LangChain, Groq, and Pydantic to automate project planning and code generation workflows. Designed Planner, Architect, and Coder agents with structured state management, enabling conversion of user requirements into implementation plans and executable coding tasks. Implemented filesystem tools for reading, writing, and managing project files, allowing agents to generate and modify application code autonomously. Developed a stateful agent workflow with conditional routing, task tracking, and iterative execution using LangGraph, demonstrating agent orchestration and tool-calling capabilities.
Hierarchical Form Management System
July 1, 2025 – July 31, 2025
Built a dynamic nested form application using React with recursive rendering and nested state management. Implemented parent-child question hierarchy with unlimited recursive nesting and automatic hierarchical numbering. Added conditional rendering, delete functionality, localStorage persistence, and responsive UI improvements. Deployed the project using Vercel and managed version control using Git and GitHub.
Data Structures and Algorithms
Unknown
June 1, 2026 – Present
Microsoft-LinkedIn Data Analysis
Microsoft-LinkedIn
June 1, 2026 – Present
Tata Forage Data Visualization
Tata Forage
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Supervised ML
Stanford
June 1, 2026 – Present
IBM Python for AI and Development
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including both academic research and personal projects, indicates a proactive and curious mindset. The 'AI App Builder' project aligns well with the innovative nature often sought in AI roles. Involvement in leadership and extracurricular activities suggests a well-rounded individual who can contribute beyond technical tasks. The current enrollment in a B.Tech (Hons.) program at IIT Kharagpur, while not directly in CS/AI, shows strong academic aptitude and a drive for learning. The target role of 'AI Engineer' is well-supported by the candidate's project focus and certifications.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through self-projects and an ongoing research internship. The 'AI App Builder' project highlights problem-solving, system design, and agent orchestration skills. Participation in extracurricular activities and leadership roles suggests good teamwork and communication potential. The detailed project descriptions indicate a structured approach to problem-solving and clear articulation of technical work.