About
Aspiring Machine Learning Engineer with a strong foundation in Computer Science and hands-on experience in machine learning, deep learning, NLP, Generative AI, and automation. Built academic and personal projects involving LLMs, RAG, NLP, computer vision, recommendation systems, and web applications.
Experience
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Summer InternBoard InfinityJun 2024 – Aug 2024
Completed a two-month internship focused on Python programming and OOP concepts. Designed and developed a Library Management System following software development best practices. Improved software design, testing workflows, debugging practices, and collaborative development using Git.
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NGO VolunteerAzad FoundationJun 2023 – 2023
Volunteered with an NGO focused on child education and elderly care. Assisted in organizing educational activities and awareness programs for underprivileged children. Supported day-to-day operations and provided care at old-age shelters.
Education
- 2026
- 2021
- 2019
Skills
Tools / apps / platforms
Projects
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Phonebook Management SystemC/C++ | File Handling
Designed a phonebook management system with add, display, and delete contact functionality using file handling for persistent storage.
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Dream Job Finding WebsiteHTML | CSS | JavaScript
Designed and developed a responsive job-finding website with intuitive UI/UX, job listings, search functionality, and user interaction elements.
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AI Agents & Generative AI WorkflowsPython | LLMs | LangChain | LangGraph | OpenAI SDK | Gemini
Built and explored agentic AI workflows for reasoning, tool use, retrieval, and task-oriented response generation.
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Natural Language Processing Research — Indic LanguagesPython | NLP | Text Processing
Conducted research on stemming and lemmatization models for Indic languages and evaluated text preprocessing approaches.
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AI-Based Crop Recommendation for FarmersPython | PyTorch | TabNet | TabTransformer | GAN | VAE | SHAP
Designed and developed an AI-based crop recommendation system using deep learning techniques. Trained and evaluated multiple models and used SHAP for explainable predictions.
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DeepAgri — Multimodal Smart Farming EcosystemPython | ML/DL | LLM | RAG | NLP | Computer Vision | FastAPI | React/Streamlit
Developed a multimodal smart-farming ecosystem combining machine learning, computer vision, NLP, Generative AI, and full-stack system integration. Built crop recommendation models, an AI agricultural assistant using RAG, and plant-disease detection workflows.
Courses & certifications
- AI Agents and Agentic AI Architecture in Python · Vanderbilt University · 2026
- AI Agents and Agentic AI with Python & Generative AI · Vanderbilt University · 2026
- Introduction to Large Language Models · Google Cloud · 2024
- Introduction to Large Language Models · Google Cloud · 2024
- Generative AI with Large Language Models · DeepLearning.AI & AWS · 2024
- Cloud Computing · NPTEL · 2024
🤝 Volunteering
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Azad Foundation · Volunteer · 2023
Volunteered with an NGO focused on child education and elderly care, assisted in educational activities and awareness programs, and supported operations at old-age shelters.