Shreyas
Revankar
I build systems that make work disappear. From LLM screening pipelines that slash 70% of manual effort, to production platforms serving 500+ users — my work is defined by outcomes you can measure.
Engineering systems that think faster than humans can act
I care about closing the gap between what software does and what it should really do for people. When my team and I built an AI screening tool at ASU, we didn't stop once it worked - we made it fast too, under 30 seconds per candidate, with clean outputs a recruiter can use right away.
Right now I'm learning more about agentic AI. I enjoy working across the stack and building with LLMs, rather than sticking to one narrow lane. I try to learn something new every week to stay up to date with the latest trends - always trying to be my best at what I do. I'm also working on a personal project right now that I'll be showcasing soon on LinkedIn and GitHub.
Outside of coding, I'm a friendly and open person. I love meeting new people and learning from them. I enjoy traveling, playing sports, and exploring new places to relax. If I have free time, I'm probably planning something fun or a little spontaneous with my friends.
I'm doing my Master's at Arizona State University, graduating in May 2027, and I'm looking for SWE internships or co-ops in AI, backend, or full-stack development.
Led department-wide initiatives — organizing expert talks, workshops, and a 100+ student hackathon — while growing from participant to Team Lead, guiding cross-functional teams through real-world industry problems.
Front-line point of contact for ASU's international student community, coordinating event logistics and outreach. Recognized with a Certificate of Recognition from ISSC for leadership and engagement.
Systems with measurable impact
Every project below has a number attached to it. That's intentional.
AI Resume Screening Pipeline
From inbox to shortlist in under 30 seconds
Built with my team for ASU's SER 594: AI for Software Engineers course, this end-to-end AI hiring pipeline uses n8n automation and a FastAPI backend, powered by Gemini AI. It automatically pulls resumes from Gmail and Google Drive, performs semantic evaluation against job descriptions, and delivers structured JSON outputs — match scores, skill deltas, and recruiter summaries — without a single manual step.
CropSync — Smart Farming Platform
Predictive AI + blockchain for agricultural intelligence
Full-stack microservices platform built on a Python Flask backend and Next.js frontend, combining AI-driven crop forecasting with blockchain-backed data integrity. Integrated real-time weather and market APIs with a multi-layer cache that eliminated 60% of redundant external calls. Containerized with Docker and deployed via CI/CD to AWS, cutting release errors by 35%.
Agile Scrum Simulation Engine
Modeling real sprint dynamics across 200+ team scenarios
A Java-based backend simulation engine using state-transition logic to model Agile task lifecycles. Built role-differentiated Swing UI for 6 Agile personas with enforced permission scopes. Integrated full CI/CD via GitHub Actions, achieving 40% improvement in simulation execution consistency across all sprint scenarios.
Peer-reviewed publications
CropSync: AI-Driven Blockchain Solution for Smart Farming
14th International Conference on Recent Challenges in Engineering and Technology (ICRCET 2025)
Peer-reviewed research presenting a full-stack AI + blockchain architecture for precision agriculture. The system integrates predictive crop models, real-time weather and market APIs, and blockchain-backed data integrity to deliver actionable farming intelligence — achieving a 60% reduction in redundant API calls and 50% faster dashboard loads under concurrent load.
Production-grade under real load
Full Stack Developer Intern
InternshipShipped production frontend and backend features for a platform serving 500+ active users, delivering measurable latency improvements and security hardening under real concurrent load.
- →Architected a SvelteKit frontend with a Flask REST backend for a multi-workflow platform, reducing user-facing configuration errors significantly through improved state management and UI clarity.
- →Engineered JWT-based authentication with session invalidation and token expiry policies, eliminating unauthorized access attempts across all production environments with 500+ active sessions.
- →Redesigned backend data models with targeted C++ optimizations, cutting average API latency 25% — from 400ms to 300ms — under high concurrent production load.
- →Designed a role-based access control layer across 4 user tiers, enforcing least-privilege permissions at the API layer and reducing the platform attack surface.
- →Translated product briefs into detailed API contracts and component specs, enabling parallel development across 2 engineers and shipping 3 features ahead of the 10-week deadline.
- →Automated UI regression testing via Tcl scripts, reducing regression test cycle time and increasing release confidence across all delivery iterations.
M.S. Software Engineering @ Arizona State University — Actively seeking SWE internships 2026 – 2027
Campus Involvement & Student Employment
Program Aide
Part-timeSupporting entrepreneurship and innovation operations at Arizona State University's Edson Entrepreneurship + Innovation Institute, facilitating student and community access to startup resources while managing cross-functional administrative operations at The Studios | Mesa City Center.
- →Supporting day-to-day operations and event logistics at The Studios | Mesa City Center, ensuring smooth execution of programming for the ASU entrepreneurship community.
- →Guiding students and community members to entrepreneurship and innovation resources, serving as a front-line point of contact for the Edson E+I Institute.
- →Managing data entry and administrative support across the E+I team, maintaining accurate records that support program delivery and reporting.
Built for depth, shipped for scale
AI & Automation
Languages
Frameworks & Tools
Cloud & DevOps
What people say
I was Shreyas's TA for SER515 (Foundations of Software Engineering) at ASU and was consistently impressed with his work. On his team's project, he combined strong software engineering fundamentals, clean OOP design, thoughtful JUnit testing, and a working CI/CD setup, with a real commitment to code quality rather than just meeting requirements. What also stood out was how he engaged: his questions were sharp and well-prepared, he took feedback and code reviews seriously, and he collaborated well with his team throughout the project.
I have had the pleasure of knowing Shreyas Revankar as a fellow MS Software Engineering student at ASU. He consistently stands out for his ability to build systems that solve real, measurable problems, from AI-driven hiring pipelines to published research in smart farming. His technical range across full-stack development, LLM integration, and backend optimization, combined with hands-on production experience, makes him a remarkably well-rounded engineer at this stage.
Let's build something that matters
I'm actively seeking SWE internships or co-ops for 2026 – 2027, especially roles involving AI integration, backend infrastructure, or full-stack product development. If your team is building meaningful systems, I'd like to talk.