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AI Engineer with less than a year in MLOps, NLP, and Deep Learning.
Results-driven M.Sc. Data Science & AI student with hands-on internship experience at a Government of Maharashtra initiative and 5+ end-to-end ML/AI projects spanning MLOps, NLP, Deep Learning, and Cloud deployment. Skilled in building production-ready pipelines (Docker, GCP, FastAPI) and intelligent systems using LLMs, RAG, and AI Agents. Seeking a full-time role in AI/ML Engineering or Data Science to deliver measurable real-world impact.
Ramniranjan Jhunjhunwala College, Mumbai
M.Sc. in Data Science & Artificial Intelligence · Data Science & Artificial Intelligence
August 1, 2024 – June 30, 2026
Ramniranjan Jhunjhunwala College, Mumbai
B.Sc. in Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Majhi Vasundhara Abhiyan (MVA), Government of Maharashtra
Data Analyst Intern
June 1, 2025 – March 1, 2026
India
Sentiment Analysis Web App
June 27, 2026 – Present
Classified movie reviews as positive/negative with 89% accuracy after full NLP preprocessing pipeline.
Leaf Disease Detection (CNN)
June 27, 2026 – Present
Trained a CNN to detect 10+ plant diseases with 86.78% accuracy using data augmentation and transfer learning.
E-Commerce Price Scraper
June 27, 2026 – Present
Scraped live pricing data from Amazon & Flipkart; built a dashboard surfacing pricing trends and competitor insights.
AQI Prediction MLOps Pipeline
June 27, 2026 – Present
Built an end-to-end MLOps pipeline for AQI prediction, achieving 92%+ model accuracy with ensemble methods. Containerized with Docker and deployed a REST prediction API on Google Cloud Run with automated CI pipeline. Integrated BigQuery for scalable data ingestion and real-time batch inference.
LLM-Powered RAG Chatbot
June 27, 2026 – Present
Designed a RAG chatbot enabling Q&A over custom documents using semantic search (Cosine/KNN). Reduced hallucination rate by grounding responses in retrieved context chunks; deployed via Streamlit.
AI Agents Fundamentals
IBM Skills Build
January 1, 2025 – Present
AI Agents Foundations
KodeKloud
January 1, 2025 – Present
Deep Learning
Kaggle
January 1, 2025 – Present
Game AI & Reinforcement Learning
Kaggle
January 1, 2025 – Present
Python for Data Science
RJ College
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects (RAG chatbot, MLOps pipeline, CNN for disease detection, sentiment analysis, web scraping) indicates a strong curiosity and proactive learning approach, which aligns well with an innovative AI/ML environment. Their active participation in Kaggle and open-source projects suggests a collaborative and continuous learning mindset. The internship at a government organization shows an ability to work within structured environments and deliver tangible results. However, the lack of team-based project experience might require adaptation to a highly collaborative corporate culture.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as evidenced by their chess playing and Kaggle contributions. Their project descriptions indicate an ability to work on complex, multi-faceted problems and deploy solutions. The internship experience shows an ability to automate workflows and improve data accuracy, which are valuable operational skills. However, the candidate's experience level is entry-level, and while projects are impressive, they are personal, which may require more guidance in a professional team setting.