Headline

Building LLM Agents & Data Pipelines | Python · LangChain · Spark · Databricks · ADF · Computer Vision | RTU CSE ’26

About

I am a B.Tech Computer Science student specializing in Machine Learning, Deep Learning, and Generative AI, with hands-on experience building real-world AI systems and data-driven solutions. I have completed internships where I worked on NLP, computer vision, AI-powered automation tools, and business-focused analytics systems. I have built multiple end-to-end projects, including a Personal Assistant AI Agent using Python, LangChain, and LLM APIs to automate tasks and manage conversational workflows; a Garbage Detection System using Computer Vision, where I trained CNN/YOLO-based detection models and explored smart-city integration; and a Generative AI Automation Agent that converts natural-language instructions into executable Python scripts using prompt chaining, validation pipelines, and memory handling. I have also worked on fine-tuning transformer-based models, including BERT for NLP tasks and Vision-Language Models (VLMs) for multimodal understanding and reasoning. I am proficient in Python and SQL, experienced with modern ML/DL frameworks, and actively strengthening my foundations in data structures, backend development, and MLOps. My long-term goal is to work as an AI/Data professional building scalable intelligent systems that create measurable real-world impact.

Location

Jaipur

Work experience

Information Technology Intern at Norsk Hydro, Jun 2025 - Jul 2025 · 2 mos, Jaipur, Rajasthan, India, • Designed and deployed prompt engineering pipelines using LangChain to automate internal IT workflows, reducing manual processing time. • Collaborated with cross-functional teams to integrate LLM-based solutions into production-grade systems. • Worked with enterprise data and APIs to build context-aware AI tools tailored to Norsk Hydro's operational needs.

Data Analyst at Jain digital media, Sep 2024 - Dec 2024 · 4 mos, Hybrid, • Built interactive dashboards in Tableau and Seaborn to surface campaign performance insights for stakeholders. • Analysed audience and engagement data to identify growth patterns, directly supporting content strategy decisions. • Cleaned and structured large datasets using Python and SQL, improving data pipeline reliability.

Internship Trainee at Upflairs Pvt Ltd, Jun 2024 - Aug 2024 · 3 mos, Jaipur, Rajasthan, India, During my internship at Upflairs Pvt Ltd, I immersed myself in the world of AI, ML, DL, and Python. I actively participated in team projects, implementing cutting-edge algorithms and developing innovative solutions. My hands-on experience in data analysis and programming languages allowed me to contribute effectively to the development of machine learning models for practical applications.

Education

Bachelor of Technology - BTech, rajasthan technical university

Pcm science, Mahaveer public school