AI/ML Intern Candidate with Practical Model Builds

Suvan Kumar

+917********* *********@*****.*** LinkedIn GitHub

EDUCATION

B. TECH (Mechanical Engineering) 2024-2028 Delhi Technological University, New Delhi 8.5 CBSE (Class XII) 2024 SAARTHI INTERNATIONAL SCHOOL 84.5% EXPERIENCE

AI & ML Internship, Elevate Labs (October 2025 to December 2025)

● Developed a conversational AI tutor using LangChain and Streamlit to help students with STEM subjects.

● Created an agent that can run actual Python code and web search to correctly solve complex physics and calculus problems.

● Handled the backend state to keep context during long chats and added real-time text streaming for the AI's responses. AI/ML Intern, GLOBAL NEXT CONSULTING INDIA PRIVATE LIMITED (July 2025 - September 2025)

● Used Python and Pandas to analyse 52 weeks of transaction data from dairy farmers to evaluate credit risk.

● Tracked weekly income volatility and zero-earning periods to build a custom risk score, then developed an algorithm to automatically calculate safe loan disbursement limits based on historical cash flows. AI Developer Intern, Wisdom Robotics, Vietnam (June 2025 - July 2025)

● Evaluated algorithmic models from literature for technical compatibility, translating complex research into actionable integration strategies for R&D prototypes.

PROJECTS

AI Tutor Chatbot

● Developed an interactive K-12 educational application using LangChain and a Qwen-2.5 LLM via the ReAct agent framework. Built custom math execution and web search tools to handle deterministic calculations, eliminating standard LLM reasoning errors. Utilized Streamlit to manage conversational chat history and render the agent's real-time thought processing steps. Microfinance Loan Credit Scoring

● Developed a credit scoring model for microfinance aimed at assessing loan eligibility and optimal loan amounts for small-scale dairy farmers based on their historical payment and supply data. Applied data preprocessing, feature engineering, and machine learning techniques to predict consistent repayment behaviour, helping to reduce lending risk and support financial inclusion. SKILLS

● Programming Languages: Python, C++, C, SQL

● ML/DL Frameworks: PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, Matplotlib

● Artificial Intelligence: LangChain, LangGraph, CrewAI, Hugging Face, RAG pipelines

● Tools & Databases: Git, GitHub, Jupyter Notebook, Vector DB (Pinecone, Chroma DB)

● Core Concepts: DSA, OOP, Linear Algebra, Statistics, Calculus POSITIONS OF RESPONSIBILITY

● Technical Director, Skillop Society: Managing project cohorts and technical workshops.

● Corporate Executive, LFC DTU: Secured collaborations and handled corporate relations for university fests.

● Mechatronic Member, Team Udupi: Contributed to Can-sized satellite development using SolidWorks for structural design.

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