Data Science & AI Undergraduate at IIIT Dharwad | Analytics | Machine Learning | Deep Learning | Python | SQL | LLM | NLP | Open to Opportunities
AI/ML Engineer specializing in Generative AI and LLM-based systems, with experience building production-ready AI applications, optimizing latency, and improving model performance through prompt engineering and evaluation.
IndVibe Infotech Pvt ltd
4 mos · Indore, Madhya Pradesh, India
During my 3-month internship at IndVibe Infotech, I had the opportunity to delve into the world of software development with a focus on Java. I contributed to various projects, gaining hands-on experience in application development, debugging, and testing within a collaborative team environment. This internship not only enhanced my Java programming skills but also provided valuable insights into agile methodologies and the software development lifecycle. It was a rewarding experience that strengthened both my technical skills and professional confidence.
IndVibe Infotech Pvt ltd
4 mos
Developed and maintained Java-based applications, implementing features and optimizing code for better performance. Collaborated in an Agile team environment to deliver software solutions, ensuring timely completion of project milestones. Designed and trained machine learning models for data analysis and prediction, improving model accuracy through feature engineering. Performed data preprocessing and visualization using Python (pandas, NumPy, matplotlib) to derive actionable insights. Integrated ML models into production-ready systems, enhancing automation and decision-making capabilities.
Indvibe Infotech Pvt. Ltd.
Apr 2025 – Jul 2025 · Indore, India
Developed and maintained scalable Java applications improving system reliability; automated development workflows reducing manual effort by 70%; collaborated in Agile teams and used Git for version control.
2022 - 2026
B.Tech, Data Science and Artificial Intelligence
2022 – 2026
Relevant coursework: Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems, Computer Networks, LLM, GenAI, Linear Algebra, Probability and Statistics, Machine Learning.
Built a production-ready GenAI chatbot using a RAG pipeline for email automation; improved response accuracy and reduced hallucinations through prompt engineering; reduced p95 latency by 66% using Redis caching and optimized retrieval; deployed a scalable API service for real-time email query generation. Technologies: MERN, Redis, Docker.
Built an NLP model for Hinglish-to-English translation; processed noisy multilingual datasets; evaluated the model using BLEU, chrF, and CoMeT metrics; improved translation quality through preprocessing and tuning. Technologies: Python, NLP.
Built a distributed NoSQL database using Raft for fault tolerance and consistency; designed a Redis-compatible interface with RocksDB/LevelDB support; implemented scalable replicated key-value storage and optimized performance for low latency and high availability. Technologies: C++, RocksDB.