Software engineer with 4+ years of fintech experience, building security-first, scalable full-stack systems and LLM-powered platforms.
Delivered $100M+ business impact at American Express. Skilled in Python, Cloud (GCP/AWS), and microservices. Focusing on LLMs, smart contracts, and RAG architectures.
View workImpact
$100M+
Revenue impact
2M+
Active users
30%
Chatbot efficiency gain
10%
Attack surface reduction
Experience
Jan 2025 – Present
Founding Engineer · Interdependent Studios
Los Angeles, CA
- Developed "Play Pause Shop" for Ralph Lauren, securing a $5M deal; architecting unified Nx monorepo platform using WebAuthn (FaceID) for high-concurrency streaming and secure authentication.
- Built LLM script analysis engine with real-time Adobe PDF intelligence for $15M movies; engineered automated identity-driven onboarding and Miro provisioning via Stripe and DynamoDB.
Apr 2023 – Dec 2024
Software Development Engineer II · American Express
Bangalore, India
- Led launch of Valgen V3, designing distributed microservices and cross-platform schemas; boosted chatbot efficiency by 30% and generated $100M+ revenue across 2M+ active users (Python, Kafka, GCP).
- Championed API and microservice security as Bangalore Security Champion: deployed 5+ security controls (OAuth2, JWT, rate limiting), cutting attack surface by 10%.
Aug 2021 – Apr 2023
Software Development Engineer I · American Express
Bangalore, India
- Redesigned bulk offer upload pipeline (JSON templating, async parallel processing), diminishing manual operations by 80% and enabling scalable bot-to-bot transfers.
- Delivered Valgen Offers platform and Add-a-Supp chatbot, deploying Kafka event-tracking microservices and end-to-end automation testing across 2M+ transactions; refined launch efficiency by 25%.
May 2020 – Jul 2020
Software Development Intern · American Express
Bangalore, India
- Decreased service latency by 20% on Raven platform by benchmarking gRPC, HTTP, and GraphQL. Scaled testing with Docker, Kubernetes, and Vert.x clusters.
Jun 2019 – Jun 2021
Full Stack Developer Intern · Inkredo (acquired by Rupymart)
Gurugram, India
- Built MVP and demo portal using React, Flask, and Firebase; led to 50% increase in sign-ups and 2 investor demos.
- Developed real-time fraud detection engine for PDFs (Python, OCR, Regex) with sub-second response time, obtaining 100K+ customer verifications.
Education
Jan 2025 – Dec 2026
Master of Science in Computer Science
University of Southern California
Los Angeles, CA
GPA: 3.9 / 4.0 | Coursework: Advanced NLP, Machine Learning, Distributed Systems, Applied Cryptography
Aug 2017 – May 2021
Bachelor of Engineering in Information Technology
Netaji Subhas Institute of Technology
New Delhi, India
GPA: 8.95 / 10.0 | Dean's Merit List
Projects
Gold Price Forecasting, Ensemble Learning
Applied Ridge Regression as a meta-learner, achieving scaled RMSE of 0.062. Benchmarked ensemble performance against academic and industry baselines, achieving 30% reduction in squared error vs. naive models.
ML Engineer | GitHub | June 2025
View project →Certichain
Decentralized certificate verification system on Ethereum leveraging Solidity, Truffle, IPFS, and Firebase — lowered verification time by 40%.
Blockchain Engineer | GitHub | Mar 2025
View project →Video Captioning, Deep Learning
Encoder-decoder pipeline (CNN + LSTM) for generating captions from video frames (TensorFlow/Keras). Improved BLEU score by 20% over baseline using pretrained models and attention mechanisms.
ML Engineer | Nov 2020
Skills
Languages/Frameworks
Python, C++, JavaScript/TypeScript, React, Flask, FastAPI, Django, Android, Flutter
Cloud/DevOps
AWS, GCP, Docker, Kubernetes, Firebase, Linux/SSH
Databases
PostgreSQL, MySQL, MongoDB, Redis
Other
System Design, Distributed Systems, Agile, CI/CD, Testing, LLM Pipelines, Design Patterns
Get in touch
Open to roles in software engineering, LLMs, and fintech.