Headline

Top PM Fellow @ NextLeap • Former Intern @ Morgan Stanley • Ex - NIT Rourkela, SheFi, Aspire Institute, NIS • CSE @ VIT Vellore’26

About

I’m a Computer Science and Business Systems student at VIT Vellore, graduating in 2026, with a strong interest in building practical, data-driven solutions. I’ve worked across data analytics, machine learning, and backend-focused projects through internships at Morgan Stanley, NIT Rourkela, and early-stage teams. During my time at Morgan Stanley, I built a machine learning–powered dashboard to detect anomalies in log data and developed an internal chatbot to simplify recurring queries, helping teams work faster and more efficiently. I enjoy turning complex problems into clear, usable systems, whether it’s dashboards, analytics workflows, or lightweight tools that improve everyday work. I’m comfortable with Python, data visualization, documentation, and collaborating across teams. Outside of work, I actively contribute to tech communities, explore new tools through hands-on projects, and enjoy learning by building. I’m always curious, open to feedback, and excited about roles where technology meets real-world impact.

Location

Katni

AI stack

cursor

opencode

claudecode

Work experience

IT & Software Intern at People Prudent Consulting & HR Solutions Private Limited, Feb 2026 - Jul 2026 · 6 mos, Pune District, Maharashtra, India, Designed an enterprise workforce monitoring platform supporting real-time activity tracking, browser monitoring, application analytics, and configurable screenshot capture from 5 seconds to 24 hours. Implemented live screen monitoring, recording, and automated reporting workflows tested across 3+ enterprise devices during the development phase. Engineered authentication, authorized-device validation, and role-based access control with 4+ user roles, alongside browser URL and file tracking modules.

Forward Program at McKinsey & Company, Oct 2025 - Dec 2025 · 3 mos

Perplexity Campus Partner at Perplexity, Sep 2025 - Nov 2025 · 3 mos, Remote

Technology Analyst Intern at Morgan Stanley, May 2025 - Jul 2025 · 3 mos, Bengaluru, Karnataka, India, - Architected a machine learning-powered dashboard to detect anomalies in log data for the Account Onboarding team, streamlining issue identification and enhancing operational efficiency. - Developed an intuitive chatbot to handle recurring internal queries, reducing manual intervention and improving team response time. - Crafted interactive visualizations and real-time graphs using Python and Dash, enabling deeper insights into log trends and fostering data-driven decision-making.

Community Ambassador at Persperence Envision, Mar 2025 - Jul 2025 · 5 mos, • Empowered the community by fostering discussions and sharing latest research developments. • Provided insights and updates from the Coherence Journal of Scientific Endeavors to encourage meaningful discussions. • Received Certificate of Recognition for outstanding dedication and commitment as a Community Ambassador for Persperence Envision.

Education

Bachelor of Technology - BTech, Computer Science and Business Systems, Vellore Institute of Technology

Product Management Fellowship, Nextleap