I am a Data Scientist and AI/ML Specialist with 7+ years of experience in developing and deploying machine learning models, LLM applications, and AI-driven solutions across industries like healthcare, finance, and HR. My expertise includes NLP, computer vision, data engineering, and interactive visualizations, with a strong focus on scaling AI systems and leading cross-functional teams.
Passionate about open-source contributions and AI research, I have published peer-reviewed work on SQL parsing and multi-agent systems. I specialize in end-to-end AI pipelines, workflow automation, and AI-powered dashboards to drive data-driven decision-making.
I thrive in fast-paced, innovative environments, applying AI to solve complex challenges while fostering collaboration and mentorship. Always learning, always evolving.
Clavis Technologies | Jul 2022 – Present | Noida, India
Tata Consultancy Services | Jul 2020 – Jun 2022 | Noida, India
Clavis Technologies | Jan 2020 – Jul 2020 | Noida, India
Tata Consultancy Services | 2016 – 2018 | Gurugram, India
Integral University | 2018 – 2020 | Lucknow, India
Integral University | 2013 – 2016 | Lucknow, India
International Conference on Advances in Science, Engineering, and Technology (ICASET)
Objective: Developed UniParseAI, a sophisticated parsing library to enhance SQL query processing, with planned support for NoSQL databases.
Resume Parsing and Personalization System
Designed an advanced LLM-based system using multi-agent, multi-modal Retrieval-Augmented Generation (RAG) techniques to parse and personalize resumes for applicants. Streamlined resume creation by providing step-by-step guidance and tailored job application recommendations.
Financial Time Series Analysis for Stock Price Prediction
Built a machine learning pipeline for time series forecasting to predict stock price movements and market trends, aiding data-driven investment strategies. Leveraged machine learning models (Gradient Boosting, Random Forest) alongside traditional methods (ARIMA, LSTM, Prophet) to improve forecasting accuracy.
Automated Data Preprocessing and Feature Engineering Pipeline
Developed an automated data preprocessing and feature engineering pipeline to streamline dataset preparation for machine learning workflows. Designed modular preprocessing steps, including data imputation, outlier detection, and data normalization.
Intelligent Chatbot with Contextual Document Retrieval
Built an LLM-powered chatbot using RAG and FAISS for accurate, context-aware responses. Integrated secure PDF processing for document-based queries. Designed a Gradio UI with authentication, session memory, and streaming AI responses for seamless interaction.
Interactive Analytics Dashboard to Assist Healthcare Administrators
Designed an interactive analytics dashboard to assist healthcare administrators in visualizing key metrics such as patient demographics, treatment outcomes, and hospital resource utilization.
Advanced SQL Query Parsing
Developed UniParseAI, a sophisticated parsing library to enhance SQL query processing, with planned support for NoSQL databases.