Headline

AI/ML Engineer | Generative AI • LLMs • RAG • FastAPI | Building AI Agents & Intelligent Systems | Python | NLP | Open to Opportunities

About

My interests lie at the intersection of AI/ML, Generative AI, backend engineering, and scalable product development. Over the past few months, I’ve been actively building projects involving RAG pipelines, LLM applications, FastAPI backends, LangChain workflows, vector databases, NLP, and AI-powered platforms. I enjoy turning ideas into working products — from designing APIs and retrieval systems to creating clean user experiences around AI. Currently, I’m focused on learning how production-grade AI systems are built and deployed at scale. I’m especially interested in GenAI, AI agents, recommendation systems, intelligent automation, and real-world ML applications. I’ve also received opportunities from companies like Infosys and other organizations, but I’m driven by the goal of working with ambitious teams where learning, ownership, and innovation happen fast. I want to contribute to products that people genuinely use and benefit from. Tech Stack: Python • FastAPI • Flask • LangChain • Hugging Face • React.js • TailwindCSS • ChromaDB • Pinecone • NLP • GenAI • REST APIs • Git/GitHub Always open to connecting with builders, researchers, engineers, and people working in AI.

Location

Ujjain

Work experience

Artificial Intelligence Intern at ScholarRank AI, Jul 2025 - Sep 2025 · 3 mos, Noida, Uttar Pradesh, India, Artificial Intelligence Intern July 2025 – Sept 2025 As an Artificial Intelligence Intern, I am actively contributing across the AI development pipeline supporting data workflows, model training, evaluation, and prototyping. My current responsibilities include: Data Collection & Pipeline Setup: Gathering, labeling, and preprocessing datasets from various sources; assisting in building and maintaining clean, version-controlled data pipelines for training and evaluation. Algorithm Research : Exploring AI/ML models through literature reviews and experiments; tracking key metrics (accuracy, F1-score, latency) to support performance evaluation and model selection. Prototype Development: Collaborating with engineers to implement and fine-tune models; assisting in the development of dashboards and demos to visualize model capabilities for stakeholders. Error Analysis & Optimization: Investigating edge cases and performance gaps; contributing to iterative improvements in data preprocessing, algorithm tuning, and model evaluation. Cross-Functional Collaboration: Working closely with data scientists, product teams, and designers to align AI solutions with product goals,maintaining detailed documentation for reproducibility and team knowledge sharing.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Science, MIT Group of Institutes, Ujjain

CBSE, St. Paul's Convent Sr. Sec. School, Ujjain