I am an AI researcher and computer science engineer dedicated to shifting AI from reactive models to autonomous, purpose-built systems that power consumer produ
Hyderabad, India
varnikam09@gmail.com
I see artificial intelligence not just as an optimization tool, but as a core layer for building transformative, highly reliable products that solve messy, real-world problems. This philosophy drives my work as a Computer Science undergraduate at Gokaraju Lailavathi Engineering College (GLEC) and as the Research Lead at the Advanced Academic Centre (AAC), GRIET, where I focus on multimodal AI, agentic orchestration, and behavioral intelligence. My technical journey thrives on high-stakes execution and collaboration. A definitive highlight was having the honor of presenting my AI models at Rashtrapati Nilayam for National Science Day, an experience that reinforced my commitment to building technology with meaningful national and global impact. Whether leading engineering efforts to place 3rd in the GDG GLEC Hackathon, building scalable frameworks as a core GDG on Campus member, or contributing to deep open-source initiatives, I focus on aligning rigorous machine learning logic with seamless user experiences. For me, the ultimate goal is simple: transition complex cognitive architectures out of research sandboxes and turn them into functional, production-ready ecosystems. To know more about me check out my GitHub and LinkedIn profile.
Data Science Intern
Oasis Infobyte
Data analyst intern
VOIS by VI - AICTE internship
Data science intern
Cognifyz Technologies Pvt Ltd
A dual-mode, multi-agent AI system that unifies downstream fleet logistics (telemetry, OSRM routing, battery State of Health forecasts) with upstream manufacturing quality management (QMS drift detection and material sourcing intelligence).
A hybrid computer vision pipeline that digitizes hand-drawn flowcharts into formal JSON Graphs by leveraging a custom-trained object detection model to reduce code-generation latency by over 90%.
A high-throughput healthcare dashboard operating on a 1-second heartbeat polling mechanism with a cold-start predictive timeline model to accurately automate patient wait-time estimations.
A cloud-native, high-speed autonomous agent built to handle complex UI navigation, multi-threaded code optimization, and creative execution utilizing secure service accounts
B.E
Gokaraju Lailavati Engineering College · 9.05 / 10
Attendee · Oct 24, 2026