Experience
My Journey
From taking my family's century-old jewelry business online to exploring the frontiers of machine learning at UCSD.
Member
Triton Quantitative Trading
Part-time quantitative research at UCSD's student-run trading group. Conducting research on financial markets using high-frequency data to identify arbitrage and alpha-generating opportunities. Collaborating with other researchers to build and test systematic trading strategies in Python, Pandas, and NumPy. Applying statistical modeling, time-series analysis, and signal processing; running backtests across historical data and optimizing strategy performance through feature engineering and parameter tuning. Weekly discussions on risk management, market structure, and advanced quantitative methods.
SWE Intern
ADA
On-site internship in Bengaluru, India. Spearheaded backend development for a multi-region patient management platform targeting hospitals in the US, Japan, and South Korea — projected to onboard 50,000+ patients across 120+ hospitals by 2025. Built and containerized Flask microservices with Docker Compose, reducing onboarding and setup time by 60%. Developed the Nurse Panel Backend API and engineered supporting data models via dbdiagram.io for onboarding, scheduling, and real-time shift tracking. Optimized PostgreSQL queries, automated daily ETL pipelines in Python, and architected scalable MDM tables for hospital, patient, and service master data. Established full-stack observability with OpenTelemetry (logs, traces, metrics), enabling 90% faster issue detection.
Cloud Engineering Intern
Espire Infolabs
Hybrid internship. Built KPI dashboards and real-time monitoring systems to support digital transformation initiatives for enterprise clients, enabling faster decision-making and SLA compliance tracking. Integrated Azure Monitor, Log Analytics, and Workbooks to centralize IT insights and reduce manual reporting by 40%. Deployed automated alerting pipelines with AWS Lambda and CloudWatch, cutting incident detection time by 30%. Contributed to communication-enhancement tools under Espire's Total Experience (TX) strategy, improving report clarity across departments.
Algorithmic Trading Intern
AGS
On-site internship. Designed high-frequency arbitrage strategies using tick-level market data to uncover short-term alpha opportunities. Built scalable Python backtesting pipelines leveraging Pandas and NumPy, analyzing 10+ years of high-frequency trading data to enhance model evaluation. Boosted predictive accuracy by 15% via feature engineering, hyperparameter tuning, and time-series normalization. Conducted volatility-adjusted Monte Carlo simulations to stress-test strategy robustness, and improved overall Sharpe Ratio by 12% through optimized risk management and volatility modeling.
Campus Ambassador
TechLearn India
Freelance role in India. Spearheaded marketing initiatives across 5+ college campuses, increasing brand visibility and driving 150+ new student signups for TechLearn's online programs. Organized and led community outreach campaigns to promote tech literacy among underrepresented groups. Collaborated cross-functionally on strategic communications — digital flyers, workshops, and webinars. Coordinated on-site events and info sessions, and tracked engagement metrics with regular reports to outreach managers.
SWE Intern
UC San Diego
Software Engineering Intern working on undergraduate projects and research at UC San Diego.
Digital Platform Lead
Gondilal Saraf
Took my family's century-old jewelry business online to solidify our legacy and bring transparency to customers — building a bilingual storefront with live gold rates, 10-year investment charts, AR virtual try-on, and AI-generated product descriptions. Also applying data-driven strategies to inventory optimization, customer segmentation, and demand forecasting in a traditional industry.
BS Data Science (Minor: Entrepreneurship & Innovation)
UC San Diego
GPA: 3.911/4.0 (major GPA 3.860, minor GPA 3.950). Key coursework: CSE 150A (AI: Probabilistic Models), CSE 151A (ML: Learning Algorithms), CSE 158R (Recommender Systems & Web Mining), DSC 80 (Practice of Data Science), DSC 100 (Data Management), MATH 183 (Statistical Methods), LIGN 167 (Deep Learning for NLP), MGT 127R (AI & Technology Strategy). Activities: Wakesurfing, Swimming, Triton Thenix, Root]d Dance Club, Archery.
High School — Engineering Science
Delhi Public School, R. K. Puram
Grade: 96.75%. Completed the final two years of high school with a focus on Physics, Chemistry, Mathematics, and Computer Science under the CBSE board. Served as Vice President of the Mathematics Society (May 2021 — Jun 2022) — led event planning for math competitions and guest lectures (60% engagement lift), designed interactive workshops bridging real-world math and classroom learning, and coordinated with faculty and external educators. Concurrently Vice President of the Physics Society, PhySoc (Apr 2021 — Jun 2022) — oversaw science-communication initiatives for 500+ physics enthusiasts, managed a 10-member core team, and partnered with peer societies on interdepartmental panels. Also active in Exun Clan.
High School
GD Goenka Public School, Kanpur
Grade: 97.4%. Completed middle/early high school at GD Goenka Kanpur. Activities included the marching band.