I build intelligent, scalable, and impactful solutions in AI, machine learning, and software engineering.
A rather passionate developer focused on creating elegant products that deliver real-world value in the worlds of tech and finance.
About Me
Sagar Sahu
Software Developer & AI Enthusiast
I'm a recent college graduate eager to build cool stuff. My expertise spans end-to-end development, including frontend engineering, backend systems, and database design. I pair strong software fundamentals with modern, cloud-native and AI-driven practices to build scalable, efficient applications using current cloud platforms, machine learning frameworks, and data engineering stacks.
B.S. in Computer Science
Rensselaer Polytechnic Institute - School of Science
August 2022 - December 2025
- Dean's Honor List (2024, 2025)
- RPI Leadership and Recognition Award
- Rensselaer Center for Open Source
- Google Developer Groups on Campus
- Tau Epsilon Phi Fraternity
- Google Cloud Data Analytics Certificate
- J.P. Morgan Chase Software Engineering Job Experience
Technologies
Programming Languages
Libraries & Frameworks
Tools & Platforms
AI & Automation
My Experience
Full-Stack Software Engineer
Fidelity Investments
Stay tuned...
My Projects
Finsh iOS App
Finance & Budgeting Tool
Finsh is a local-first mobile app that helps new graduates and early-career professionals make sense of their first paycheck. It breaks down salary, taxes, and benefits in clear, simple terms, showing exactly where your money goes and how to make smarter financial choices. With interactive insights, easy-to-read visuals, and long-term planning strategies, Finsh empowers users to plan, prioritize, and take control of their finances from day one, before their money hits the bank. Additionally, it is extremely efficient and scalable with a serverless backend, client-side computation, and on-device state management. Currently available for free on iPhone and iPad.
Concourse
AI-Powered Airport Food Concierge
Deployed a full-stack agentic application that leverages DigitalOcean Gradient AI to streamline dining selection for infrequent travelers at airports. Built an LLM-driven agentic workflow with RAG over curated airport/vendor menus, backed by DigitalOcean function routes for low-latency inference and prompt orchestration.
Silent Bottleneck Detector
Real-Time Engineering Performance Orchestration
Pitched an AI-driven platform that autonomously detects and resolves hidden workflow inefficiencies using IBM watsonx.ai (Granite 4.0) and Langflow agents. Designed IBM Cloudant and Flask API integrations, enabling real-time cognitive analysis of team health signals, workload rebalancing, and self-healing via watsonx Orchestrate.
Developer Portfolio
Modern Personal Website
Built a high-performance personal portfolio using Next.js 14, TypeScript, and Tailwind CSS to showcase my skills, experience, and projects. Implemented Framer Motion animations and glassmorphism UI with a backdrop-filter and particle system, and optimized with server components and dynamic imports.
Flowstate
Distraction-Aware Productivity Extension
Developed a local Chrome extension AI layer that passively captures behavioral signals to model personalized focus fingerprints with React and SQLite endpoints. Built a real-time pattern recognition prototype with Llama 3.1 inference to detect distraction loops and generate feedback.
OpenPlaybook
CV-Powered Sports Analytics Simulation
Built an open-source application enabling computer vision pipeline using Python's supervision and inference libraries to ingest sports video data, apply object detection and tracking, and extract structured insights for deeper, context-aware understanding of in-game actions through OpenCV.
IQ
Customer Intent Triage Engine
Spearheaded ideation of a queueing interface to triage customer intent and enhance appointment flow for automotiveretail stores, built a prototype using React, Express and SQLite, and led 4 fellow interns to pitch against 75+ teams in the 2025 Innovation Garage hackathon.
Dinder
Social Dining Companion for Group Coordination
Launched a full-stack web app to aid RPI students with indecision on group dining and restaurant discovery, used the MERN stack, Javascript, and Google API services to provide intelligent preference ranking, interactive real-time websocket sessions, and personal matches.
Contact Me
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Get in Touch
I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team. Feel free to reach out to me using the form, or through my social media channels.
Let's create something awesome together!