CS + AI/ML · Stevens Institute of Technology
Vinayak
Ranjan
Backend systems, data, and applied AI.
Computer Science student (AI & ML concentration) with minors in Quantitative Finance and Cybersecurity. I build clean, useful products - backend infra, data pipelines, and AI tooling. Joining Capital One's AI team as a Software Engineering Intern in summer 2026.
3.83
GPA
6+
Roles held
2026
Capital One
Experience
2026 · New York, NY
Software Engineering Intern
Capital One
Incoming summer intern, developing ML solutions that enhance financial intelligence and customer experience.
Upcoming
May 2025 – Aug 2025 · Redwood City, CA
Software Engineering Intern
Anomali
Built semantic search infrastructure using OpenAI embeddings that cut API costs by $40K/month and doubled system throughput. Developed an AI-driven test coverage tool that lifted a critical API from 12% to 82% coverage.
OpenAI
PostgreSQL
Python
Jan 2025 – Dec 2025 · Hoboken, NJ
Quantitative Research Analyst
Stevens Student Managed Investment Fund
Built an automated sector forecasting pipeline supporting a $1.2M equity portfolio, reducing manual analysis effort by 75% and improving forecasting accuracy by 15%.
FastAPI
ClickHouse
Python
Sep 2024 – Nov 2025 · Hoboken, NJ
Software Engineer
Stevens Blueprint
Built AI-powered tooling and backend infrastructure for nonprofit clients, improving team onboarding by 30% and cutting deployment time by 40%.
OpenAI API
React
Node.js
Dec 2023 – May 2024 · Hoboken, NJ
Undergraduate Researcher
Princeton University & Stevens Institute of Technology
Researched Hopfield neural networks for noisy image recognition, improving pattern recall by 35% and network stability by 22% through modified energy functions.
Python
Neural Networks
Jun 2023 – Dec 2023 · Concord, NC
Software Engineering Intern
ISH Technology LLC
Revamped search and filtering logic in a C#/.NET platform, increasing discoverability by 50% and cutting API response times by 35%.
C#
.NET
SQL
Projects
Shopify Shop Mini
GitHub ↗
AI-powered shopping experience built in a 2-day hackathon using generative AI for personalized recommendations - awarded $1,000 and invited to publish to production.
Sequential Processor Design
Nov 2024
16-bit CPU with a custom ISA, ALU, and register file - plus a Python assembler for simulation and debugging. Achieved a 15% improvement in execution speed through instruction flow optimization.
Volunteer Connect Platform
Mar 2024
Full-stack volunteer management system that increased user engagement by 45% and improved backend performance through optimized RESTful APIs and database queries.
Next project · coming soon
Certifications
Skills
Python
C++
Java
C#
Rust
Go
SQL
JavaScript
OCaml
React
Node.js
FastAPI
PyTorch
TensorFlow
ClickHouse
AWS
GCP
PostgreSQL
MongoDB
Docker
Git
Linux
LLMs
Distributed Systems
Contact
Open to software engineering, AI, and data-focused opportunities. Fill out the form or reach out directly.