About
I am an AI Engineer passionate about building practical and reliable AI systems that address real-world challenges. I enjoy working at the intersection of research and development, continuously learning, and creating solutions that are efficient, scalable, and user-focused. My goal is to leverage AI to solve meaningful problems while improving system performance and usability.
Currently, I 'm a Product Associate at ZoomRx - Ferma Congress , where I focus on fine-tuning and managing conference data. I develop AI modules to extract and process information from conferences and build prioritization algorithms to identify and surface the most relevant insights for analysis and decision-making.
In the past, I gained hands-on experience in AI and data science through internships and personal projects. I worked on building end-to-end ML pipelines, implementing scalable models, automating data workflows, and performing data cleaning, normalization, and feature engineering. I also led small teams, applied MLOps practices for deployment, and leveraged cloud platforms like AWS and GCP. These experiences strengthened my skills in Python, machine learning, data analysis, and AI system development, preparing me to tackle complex, real-world problems.
In my spare time, I usually go on moto rides, hike and trek to explore new trails, or write and share insights on Medium .
Experience
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Dec, 2025 — Present As a Product Associate, I'm currently working on enhancing the AI-driven product capabilities for the Ferma Congress platform. As a part of it, im working on building a new system for prioritization algorithm automation using AI Agents.
July, 2024 — Nov, 2025 Associate · Ferma Congress @ZoomRxAt ZoomRx as an Associate, I focused on integrating AI into medical research by developing automated pipelines for structured and unstructured data extraction from global conferences. I fine-tuned language models and built intelligent systems to summarize and extract key medical entities. My work emphasized optimizing workflows, reducing manual effort through automation, and enabling faster, data-driven insights for research and strategy teams.
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Python
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Artificial Intelligence
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Data Extraction
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Database
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Large Language Models
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Work Automation
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Data Manipulation
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Jun 2023 — Oct 2023 At HippoCloud, I led a team of interns, mentoring them in data modeling and preprocessing. I worked on a recommendation system use case, optimizing algorithms for better prediction and personalization. I also automated project pipelines to reduce manual work and improve workflow efficiency.
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Data Science
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Natural Language Processing
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MLOps
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Recommendation Systems
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End to End
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Data Pipelines
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Projects
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OpenHealth
An AI-powered platform using AIML & language models to deliver intelligent insights for healthcare and medical research.
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Machine Learning
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Deep Learning
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LLMs
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AWS
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OptiResume
An AI-powered tool using decoder-only transformers and LangChain to optimize resumes for ATS, and impact.
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Natural Language Processing
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Streamlit
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Docker
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Market Insight
MarketInsight provides daily market summaries, automated BI dashboards, and predictive analysis of Indian stock indices, offering actionable insights.
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Time Series
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Predictive Analysis
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Business Intelligence
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Movie Recommendation System
End-to-End Movie Recommendation System leverages collaborative filtering and web scraping to provide personalized movie recommendations.
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Web Scraping
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MLOps
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OOPs
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Writing
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May, 2025 (Last Updated)
Comprehensive Guide to Machine Learning: Medium Playlist
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Dec, 2023
Covariance vs Correlation