Headline

AI Engineer | GenAI & Machine Learning | RAG, LLMs, LangChain, FastAPI | Building AI-powered applications & intelligent document Q&A systems

About

I build AI systems that don’t just process data — they actually understand and answer it , that turn data into intelligence and ideas into working software. I’m a developer with a strong focus on AI Engineering, Data Analytics, and Software Development. I work across the full stack of data and AI systems using Python, SQL, FastAPI, Machine Learning, and GenAI tools like RAG pipelines, LLMs, and LangChain. My goal is simple: build applications that are not only functional but also intelligent and data-driven. I’ve worked on projects involving AI-powered document Q&A systems using RAG, integrating large language models into real applications, and developing backend APIs for machine learning workflows. Alongside this, I’ve explored data analysis and visualization to extract insights from datasets and support decision-making. I enjoy working at the intersection of software engineering, data, and AI — where raw data becomes useful products and user problems get solved through clean, scalable systems. Right now, I’m actively exploring opportunities in Software Development, Data Analytics/Data Science, and AI/ML Engineering roles. I’m especially interested in roles where I can build scalable applications, work on real-world data problems, and contribute to AI-driven or data-intensive products. I’m always open to connecting with teams and professionals working on software systems, data platforms, and AI solutions.

Location

Kolhapur

Work experience

Intern at Salesforce, Jul 2025 - Dec 2025 · 6 mos, Completed hands-on training in Salesforce development and administration, focusing on CRM data modeling, process automation, and scalable business application design. Designed and implemented custom objects, fields, and relationships to structure business data effectively and support real-world CRM use cases. Built and optimized validation rules, workflows, and Salesforce Flows to automate business processes and improve operational efficiency. Developed Lightning dashboards and reports to visualize key business metrics and support data-driven decision-making. Worked on Salesforce App Builder to create and customize applications aligned with organizational workflows and user requirements. Gained practical exposure to CRM customization and process optimization, improving system usability and reducing manual effort through automation.

Project Intern at Indian Institute of Technology, Bombay, Jan 2025 - Jun 2025 · 6 mos, Developed Learnify, an AI-powered recommendation and prediction system, by building end-to-end ML pipelines using Python, Pandas, and Scikit-learn to enhance personalized learning experiences. Implemented hybrid recommendation engine (collaborative + content-based filtering) using cosine similarity and k-NN to improve relevance of course recommendations for users. Designed and executed data preprocessing and feature engineering workflows including missing value handling, normalization, TF-IDF vectorization, and user-item matrix creation for improved model performance. Built and evaluated machine learning models using precision@k and recall@k metrics, optimizing recommendation accuracy and ranking quality for better user engagement prediction. Integrated user behavior analysis and churn prediction logic to identify potential drop-off patterns and improve retention insights through predictive modeling techniques. Tuned similarity thresholds and combined multiple filtering strategies to enhance recommendation relevance and system robustness across diverse user profiles.

Education

Bachelor of Technology - BTech, Computer Science And Engineering (Data Science), D. Y. Patil College of Engineering & Technology, KASABA BAWADA (DYPCET)

HSC, Chate Jr College Kolhapur