Srikar
Nadella
Fintech infrastructure at Wells Fargo. Fraud-detection ML at Nightwing. CS @ UVA, open to new grad SWE roles.
Selected Work
more on GitHub →Plutus
Full-stack personal finance platform with Supabase Auth (Google OAuth) and JWT-gated Java endpoints isolating PII across Plaid-sourced transaction data. Outlier detection, subscription-pattern recognition, 6-month trend aggregation, and per-category budget alerts.
React · TypeScript · Java · Spring Boot · Plaid API · OAuth
D(J)ikstra
Graph-based DJ set-list generator using Dijkstra's algorithm and clustering to optimize harmonic transitions across 600+ songs via cosine similarity, cutting manual planning time for 10+ active DJs. Real-time re-optimization during live sets through a custom graph-traversal engine with harmonic-mixing constraints.
Python · NetworkX · Scikit-learn · Pandas
API Buckets
Database-free, cloud-native platform on AWS Elastic Beanstalk that converts spreadsheets with 1,000+ rows into auto-documented REST APIs with dynamic endpoints in under 5 minutes.
Java · Spring Boot · React · AWS S3 · OpenAPI
Trading Pairs HUD
Data-focused interface for pair-trading analysis with readable correlation signals and clean quantitative visuals.
Python · Analytics
Computer Vision
Computer vision pipelines covering dataset preparation, live camera input, and identity-matching workflows.
Python · Computer Vision
AI 2048
AI course project comparing algorithms, expectimax, Monte Carlo, and deep RL, in a 2048 sandbox environment.
Python · ML
NBA MVP Predictor
ML analysis on historical NBA data estimating MVP candidates from player stats and advanced metrics.
Python · Sports Analytics
Housing Market Analysis
ML project using housing and macroeconomic data to model market movement.
Python · Data Analysis · ML
Where I've Worked
Wells Fargo
June – Aug 2026
Charlotte, NC · Corporate & Investment Banking Technology
Independently built a fault-tolerant, distributed data ingestion pipeline in Java and Spring Boot for an internal financial-analytics initiative, sustaining 1,100 records a second.
Owned data integrity end to end for a 14,784-record dataset, using transactional parent-child persistence with optimistic locking to stop write conflicts under concurrent load, then built automated retry and validation logic that cut manual write-failure interventions roughly 85%.
Nightwing
June – Aug 2025
Dulles, VA · formerly Raytheon Cyber & Intelligence
Built a modular Python ML pipeline on AWS that cut enterprise security anomaly triage time 25%, surfaced through Power BI dashboards.
Raised fraud-detection precision from about 80% to 97% with a hybrid AI/ML layer on SageMaker combining statistical methods, Isolation Forest, and deep learning. Also developed an AI security tool, integrating LLaMA 3.2 into a threat-response platform that auto-translates intel into SIGMA rules and files remediation PRs straight into CI/CD, automating away manual review work and cutting analyst triage time 43%.
NT Concepts
July – Aug 2023
Tysons, VA
Resolved 20+ bugs across React interfaces and Java REST APIs, lifting regression test coverage 15%.
Refactored 10+ Java REST APIs and MongoDB queries to cut data-retrieval latency 13% across production reporting modules.
Also Leading
HooHacks
Sept 2023 – Present
Hacker Experience Committee Chair
Led ops for UVA's 700+ attendee hackathon (15+ sponsors/mentors); AI/analytics workshops grew technical track enrollment 20%.
hoohacks →Global Teaching Project
June 2024 – Present
Teaching Assistant
Improved student AP exam scores 40% YoY (20% outperformance vs. state average) via custom AP CS curriculum for under-resourced students.
global teaching project →B.S. Computer Science at the University of Virginia, class of 2027, minoring in business at McIntire. AWS Certified Cloud Practitioner. Most at home in Java, Python, TypeScript, React, and Spring Boot, running on AWS, with Scikit-learn and PyTorch for the ML side.
Let's
talk.
Open to SWE new grad opportunities. Reach out directly.