SHREEVERSHITH KOLLABETTU
I'm a software engineer focused on building AI-powered and automation-driven systems that solve real operational problems. My work sits at the intersection of backend engineering, intelligent workflows, and data-driven decision-making. I've designed and modernized enterprise applications, built event-driven workflows, and developed AI-enabled systems, ranging from LLM-powered assistants to analytics pipelines, that are reliable, scalable, and production-ready. I care deeply about system design, performance, and shipping solutions that create measurable impact.
My Skills
AI & Automation
Software Engineering
Cloud & Infrastructure
Data & Business Intelligence
Experience
The University of Texas System
IT Applications Services Associate
Post Graduate InternshipIT Application Services Intern
Internship
The University of Texas at Dallas
Student Assistant
Part-time
Infosys
Senior Systems Engineer
Full-timeSystems Engineer
Full-timeSystems Engineer Trainee
Full-time
Abstream Technologies
Intern
InternshipEducation
The University of Texas at Dallas
Master of Science - MS
Business Analytics and Artificial Intelligence
- Special Honors as a "Scholar With Recognition"
Visvesvaraya Technological University
Bachelor of Engineering - BE
Computer Science and Engineering
Projects
Filter projects by category
Estimation Of Photometric Redshift Using DL
Deep learning models to estimate photometric redshift from SDSS data using SQL-based extraction and multiple ML/DL algorithms. Includes a Springer publication.
DealGraph
AI-powered due diligence copilot for venture capital investors. Upload any startup's pitch deck and get a confidence-scored investment analysis with verified claims, competitive intelligence, and a voice-narrated deal memo.
AkashGuard
Autonomous self-healing agent for decentralized cloud deployments on Akash Network. Monitors services, diagnoses provider failures using Llama 3.3 70B via AkashML, and autonomously redeploys workloads to new providers with a real-time dashboard and Telegram alerts.
NutriGuard API
Guarded nutrition estimation API (FastAPI) that combines deterministic food data with a hybrid RAG architecture to provide explainable calorie estimates while minimizing LLM usage.
Portfolio Website using Next.js and Tailwind CSS
This portfolio: a dynamic, responsive web app built with Next.js, Tailwind CSS, React, Framer Motion, and Typewriter.js with dark mode, project modals, timelines, and GA integration.
Emotion Detection Using Transformers (Kaggle)
Emotion detection experiments using Transformers (RoBERTa, ALBERT, DistilBERT) and QLoRA fine-tuning on Qwen models with multi-label classification and 4-bit quantization.
Testimonials
A few words from leaders and colleagues I've had the privilege to work with.
I had the pleasure of working with Shreevershith on a project where he played a key role in both supporting an existing .NET web application and later contributing as a developer on a new .NET Core 8 Razor Pages application.
From the beginning, Shreevershith demonstrated strong technical expertise, a proactive attitude, and a deep understanding of the .NET ecosystem. During the support phase, he quickly familiarized himself with the legacy codebase and was instrumental in troubleshooting issues, optimizing performance, and ensuring smooth operations.
As we transitioned into building the new Razor Pages application, Shreevershith's contributions were equally impressive. He approached each task with clarity and focus, writing clean, maintainable code and offering thoughtful input on architecture and best practices. His ability to collaborate across teams and communicate clearly made a big difference in the success of the project.
Beyond his technical skills, what stood out the most was his reliability and willingness to go the extra mile to ensure quality and timely delivery.
I would highly recommend Shreevershith for any team looking for a skilled, dependable, and collaborative .NET developer.
Certifications
Recent Activity
February 25th 2026
AkashGuard took 2nd place in the Akash Track at the Open Agents Hackathon in San Francisco. We built an autonomous self-healing agent for decentralized cloud deployments on Akash Network that monitors services, uses Llama 3.3 70B via AkashML to diagnose provider failures, and automatically redeploys workloads across providers with a real-time dashboard, Telegram alerts, and multimodal voice and image summaries (Venice AI) for operators.
February 21st 2026
Built Cactus Voice, an on-device voice-to-action web application that uses Cactus for Whisper-based speech transcription and FunctionGemma for intelligent function routing. The app turns spoken or typed natural language into real actions like weather, music, timers, and reminders via a FastAPI backend and WebSocket-powered dark UI, with all transcription and routing running locally for low-latency, privacy-preserving control.
February 20th 2026
Participated in the AWS x Anthropic x Datadog GenAI Hackathon 2026 at the AWS Builder Loft, San Francisco. My team built DealGraph, an AI-powered due diligence copilot for venture capital investors that extracts verifiable claims from pitch decks, routes them to graph, web, and LLM verification, and delivers confidence-scored investment analysis with competitive intelligence and voice-narrated deal memos.
Get In Touch
Have a project in mind or want to collaborate? Let's talk!
Prefer another channel? You can also reach me via LinkedIn.
View LinkedIn