I am a Computer Science Engineering graduate from UPES University with practical experience in AI/ML, NLP, data analytics, and full-stack web development. I build end-to-end digital products, from machine learning pipelines and dashboards to responsive web applications and APIs.
I have completed internships with IBM, NASSCOM, MedTourEasy, and Arnima Solutions, where I worked on legal document NER, predictive analytics, healthcare data analysis, LLM-powered applications, chatbots, and automation workflows. My work has involved Python, SQL, Flask, FastAPI, React.js, Docker, Power BI, and cloud services.
As the co-founder of Microtechnique IT Solution, I have delivered websites and software solutions for clients while managing lead generation, client pitches, requirement gathering, and onboarding. I also have three years of freelance web development experience serving educational institutions, retail businesses, and SMEs.
My AI/ML interests include natural language processing, computer vision, predictive modeling, retrieval-augmented generation, and LLM applications. I have developed projects such as a deepfake image detection system, an employee attrition prediction dashboard, and an Android traffic violation management application.
I enjoy solving real-world technical problems through scalable and user-focused solutions. I have participated in competitive hackathons, including CSI Hackathons, Smart India Hackathon, and Google Girl Hackathon, and regularly strengthen my algorithmic skills through LeetCode and CodeChef.
I co-founded an IT solutions startup and deliver client websites and software products from initial discovery through deployment.
I have completed more than 10 client solutions while handling lead generation, client pitches, requirement gathering, onboarding, and end-to-end project delivery.
I built and optimized a Named Entity Recognition system for legal documents using Python, spaCy, and Scikit-learn. The system extracted case numbers, court names, dates, and legal sections.
I also developed a Flask and React.js prototype for document uploads, entity extraction, and results visualization. The application was deployed with Docker to support scalable real-time performance.
I cleaned, processed, and analyzed healthcare datasets using Excel, SQL, and Python.
I created interactive Tableau dashboards for a healthcare analytics case study, presenting data insights in an accessible format.
I developed AI-powered applications, chatbots, and automation workflows using large language models.
I built and integrated REST APIs using Python and FastAPI, and designed prompt engineering workflows for AI-enabled product features.
I built predictive machine learning models for employee attrition and hiring-trend analysis.
I created Power BI dashboards that enabled business teams to monitor KPIs, predictions, and workforce trends.
I designed, developed, and deployed responsive websites for educational institutions, retail businesses, and small and medium-sized enterprises.
I collaborated with international clients on end-to-end execution, from requirements gathering and design through development and delivery.
B.Tech (Non-Hons.), Computer Science Engineering
Completed a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.6. Relevant coursework included Design and Analysis of Algorithms, Formal Languages and Automata Theory, Compiler Design, and Human-Computer Interaction.
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