AI/ML Engineer exploring Computer Vision and Model Explainability
Bengaluru, Karnataka
B.E. in Computer Science (AI & ML)
Expected Graduation: June 2026
Machine Learning, OS, DBMS, Big Data, Networks
Jun 2024 – Present
Developed performance suite processing 100 images/batch in under 10 minutes, making manual analysis redundant. Achieved 15% higher object detection accuracy over industry benchmarks, enabling pilot collaborations with STMicroelectronics and Renesas.
Jun 2024 – Present
Trained UNet++ model with EfficientNet B5 Encoder on 1600+ augmented ultrasound images. Achieved 85% IOU score, beating all other research efforts. Secured ₹4 Lakh funding from Ramaiah's venture. Collaborating with Ramaiah Hospital for larger Indian dataset.
Mar 2025 – Present
Built web application providing creators AI tools for real-time comment analysis and engagement. Features Comment Summarizer, AI Chat via Gemini integration, and insights dashboard with region-wise analytics and engagement metrics.
2024
Developed Lekha, a role-based legal productivity app tailored for Indian lawyers and law interns. The platform offers distinct onboarding and dashboards for Senior Advocates, Junior Advocates, and Interns, with features like case management, court diary integration, intern supervision, and document organization. Interns can request access to advocates, submit resumes, and assist with real-time case tracking and research. The app includes AI-powered features such as voice-based case status queries, case summarization via PDF parsing, and smart diary logging during or after court proceedings. Despite filing writ petitions to the High Court of Karnataka, we were denied access to necessary court data APIs by the e-Committee, stalling deeper integration with high court databases and live cause lists. Until government approval is granted, the product remains in limited release.
Jan 2024 – May 2024
Architected full-stack precision agriculture application deployed on research farms at Western Sydney University and IIHR. Developed custom image preprocessing enhancing crop image quality by 30%. Applied object detection models achieving 95% precision for targeted pesticide deployment, reducing overuse by 30%.
Sharing my journey, learnings, and experiences in AI/ML and startup environments
"Grateful for the opportunity to work on features that gets in front of clients and future customers right away. One of the most underrated parts of working at a startup is turning something you just built into something live right away."
Excited to see AUTOIQ.ai being highlighted by Renesas! As part of the Emmetra team, I contributed to our AI-driven automation tool that slashes image quality tuning timelines from months to just days.
"Wrapping up my internship at Emmetra! Had the chance to work on AutoIQ and walk away with a lesson that feels core to startups: adaptability is the real moat."
The teams that move fast, iterate without blockers, and pivot when needed are the ones that create true value. Working on cutting-edge computer vision solutions taught me the importance of staying flexible in a fast-paced environment.
"The most successful teams aren't necessarily the ones with the best initial plans, but the ones that can adapt and evolve their approach based on real feedback and changing circumstances."
Ready to discuss AI/ML opportunities, research collaborations, or innovative projects? Fill out the form below to unlock my contact details!
Open to internships, research collaborations, and full-time opportunities in AI and Computer Vision.