Headline

Sr. MLE (CV) @ Real

About

I'm an undergraduate from IIT Hyderabad (Batch 2016 - 2020) with a major in Electrical engineering. From Home automation to IoT based projects to Machine Learning and Deep Learning based ideas, I've undertaken many projects under our professors. I've been learning and pursuing Machine Learning and Artificial Intelligence as a hobby since 2017 and worked in a professional capacity for the past 5 years.

Location

Hyderabad

AI stack

claude code

langfuse

OpenRouter

PydanticAI

Zed

Work experience

Senior Machine Learning Engineer at Real, Jan 2026 - Present · 11 mos, Hyderabad, Telangana, India

AI Scientist at DeepReel, Oct 2023 - Dec 2025 · 2 yrs 3 mos, Greater London, England, United Kingdom, - Developed and fine-tuned FLAME-based 3D facial tracking, lipsync models, neural textures and neural rendering pipelines for avatar training and inference - Built video processing workflows including frame extraction, facial detection, frame alignment, person centering, and codec optimization for inference Implemented perceptual losses for improved facial texture in neural rendering; researched Gaussian Splatting for enhanced facial expressions - Architected Genie, an agentic video-generation platform orchestrating LLMs (LangFuse, BAML) for end-to-end video production - script gener- ation, scene planning, B-roll search / generation - Integrated stock media search, Google search APIs, and FAL-based generative models to create explainer videos at scale - Context engineering to ensure necessary information was flowing between different steps of Genie

AI R&D Engineer at Frinks Digital Technologies, Dec 2022 - Sep 2023 · 10 mos, Bengaluru, Karnataka, India, Worked on improving various systems and pipelines designed to take on the task of automated quality inspection for high volume industrial products.

Graduate Software Engineer at Jaguar Land Rover, Sep 2020 - Dec 2022 · 2 yrs 4 mos, Bengaluru, Karnataka, India, ADAS Research and Engineering | 3D Object detection in Lidar | Contributed towards the research to find the efficacy of various Lidar sensors, datasets based off them, accuracies achievable in those conditions, inference speed to match real-time applications and range - noise sensitivity studies. The above mentioned topics were my small humble contributions towards the Ground Truth Project.

Research Intern at Philips Innovation Campus, Bangalore, May 2019 - Jul 2019 · 3 mos, Greater Bengaluru Area, Worked on non linear optimization models for risk estimation for medical diagnosis.

Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, Indian institute of technology Hyderabad