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AI/ML & Generative AI Engineer

Location:
Karnataka, India
Posted:
October 25, 2026

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Resume:

SUMMARY

Aditya Sharma

+91-836**-***** ****************@*****.*** linkedin.com/in/aditya-sharma-6319ba321 github.com/Aditya-sharma112245

LeetCode: aditya_sharma160 GFG: adityasharma123

B.Tech CSE (CGPA: 8.80/10) with experience in AI/ML, Generative AI, and software development through internships and real-world projects. Skilled in building LLM-based applications, RAG systems, ML prediction models using Python and modern AI tools. Finalist in Nagarro’s “Crack a Code 3.0” Hackathon, seeking AI/ML and Software Engineering opportunities. PROFESSIONAL EXPERIENCE

Junior Software Engineer DataCorp Traffic Pvt Ltd (www.datacorp.tech) August 2026, onwards Bengaluru Working on AI based automation of CCTV data analytics and quality checks process on TrafficLenz platform. AI Engineering Intern Internet Human Co. (WhiteGloves.in) June 2026 – August, Gurugram Engineered AI-powered Customer Officers on WhatsApp for D2C brands, automating customer support, order tracking, abandoned cart recovery, and RTO reduction. Built agentic AI systems integrating LLMs, prompts, and business workflows to deliver autonomous customer engagement and operational automation.

Delhi Integrated Multimodal Transit System Ltd (DIMTS) AI/ML Engineer Intern Jan 2026 – June 2026 Delhi Developed a supervised ML model for Electric Bus Battery Range Prediction using real-time battery & operation data. Deployed interactive fleet analytics dashboard with live battery health & range predictions, for data-driven dispatch & charging decisions for operations. Built NLP &LLM-powered transit applications, intelligent passenger assistance chatbot & sentiment analysis pipeline to automate query resolution and surface service insights.

National Capital Region Transport Corporation (NCRTC) Software Engineering Intern June 2024 – Aug 2024 Delhi Developed & deployed Android applications (Kotlin) for RRTS commuter services & NCRTC land management. PROJECTS

VidMind AI — AI Meeting Intelligence Agent Python, Streamlit, Whisper, Sarvam AI, LangChain, ChromaDB, LLMs 2026 Built an AI-powered platform to transcribe meeting videos (English & Hinglish) and generate structured summaries with key insights. Developed a RAG-based Q&A system using LangChain and ChromaDB, enabling conversational search across meeting transcripts. ResearchMind AI — Multi-Agent Research System Python, LangChain, Tavily API, LLMs 2025 Built a multi-agent research pipeline (Search, Retrieval, Synthesis, Critic) to generate citation-backed reports with hallucination validation. Integrated Tavily real-time web search to deliver up-to-date insights beyond LLM knowledge cutoffs. Metro Crowd Prediction System Python, Machine Learning, Streamlit 2024 Built a multi-zone ML occupancy forecasting app predicting crowd levels at metro ticket counters, security, platforms, and coaches to enable proactive staff deployment and crowd management. AI Food Demand Forecasting Python, ML, Streamlit — Nagarro National Hackathon Finalist 2025 Reached national finals of Nagarro’s “Crack a Code 3.0” (2025); built an AI-driven demand forecasting tool for restaurant chains to cut food wastage through data-driven inventory planning. Top national finalist competing among many of teams nationwide. TECHNICAL SKILLS & TRAINING

Training: Udemy: Claude Code Master Class

Languages: Python • C++ • Kotlin

AI / ML: Machine Learning • Deep Learning • NLP • Retrieval-Augmented Generation (RAG) • Sentiment Analysis GenAI & Agentic AI: Agentic AI • LangChain • Hugging Face • OpenAI API • Mistral API • Whisper • Sarvam AI • Multi-Agent Systems • Prompt Engineering

Vector DBs: ChromaDB • Semantic Embeddings

Dev Tools: Streamlit • Firebase • Android SDK • Git EDUCATION

Guru Gobind Singh Indraprastha University (IPU) Delhi, India B.Tech, Computer Science & Engineering 2022 – 2026 CGPA: 8.80 / 10 Central Board of Secondary Education (CBSE) India

Class XII: 91.4% Class X: 88.4% 2021 2019

ACHIEVEMENTS & PUBLICATIONS

• Published Researcher — “When Fatigue Meets the Wheel: A Review of Drowsiness Detection Technologies,” AICTE National Conference on IT for Sustainability in Agriculture & Healthcare (ISBN: 978-81-949693-7-2, 2025).



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