K Sai Sri Teja, MS in EE (CV-AI)
kuppasaisriteja@gmail.com
Deep Learning Engineer - II

Research-oriented and versatile Deep Learning Engineer specializing in Computer Vision and AI. Proficient in building end-to-end deep learning pipelines, model optimization, real-time deployment, and image/video generation tasks. Experienced in the software development life cycle (SDLC) with exposure to Agile methodologies. Passionate about research-driven innovation, working efficiently both independently and collaboratively in dynamic environments.

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Skills

Deep Learning Frameworks and Libraries

Experienced with major deep learning and machine learning frameworks including PyTorch, TensorFlow, Keras, Scikit-learn, and WandB, alongside scientific computing libraries like Scipy, Numpy, OpenCV, and Pandas for building, training, and evaluating models.

Developer Tools

Proficient in using VSCode, Jupyter Notebook, Google Colab, and version control systems like GitHub, GitLab for code development, collaboration, and experimentation tracking.

Platforms and Technologies

AWS Cloud Services • Docker • Linux (Ubuntu) • NVIDIA DeepStream • Pybullet • ROS (Robot Operating System)

Programming Languages

Strong programming expertise in Python, with experience in building production-grade deep learning pipelines, automation scripts, and backend services.

Experience

Leading provider of AI-driven solutions for industrial automation, specializing in surveillance, inspection, and monitoring technologies.

Deep Learning Engineer - II

• Jul, 2022 – Jan, 2025 •
Developed and tested deep learning models across Classification, Detection, and Segmentation tasks, achieving a system-wide accuracy of 90%. Specialized in real-time deployment, synthetic data generation, and automation tools to enhance training and operational efficiency.
  • Established and managed a DLOps pipeline using Nvidia DeepStream for scalable real-time model deployment.
  • Implemented data quantization techniques to halve model training time while maintaining accuracy, enabling 2x faster experimentation cycles.
  • Utilized diffusion models and GANs for synthetic data generation, improving model performance significantly.
  • Developed an auto annotation tool that reduced labeling time for detection and classification tasks by 75%.
  • Optimized image restoration models (NAFNET, UFormer, DiffIR) to enhance image quality and ground truth data for internal evaluations.
  • Integrated Vision-Language Models (LLama 3.2, LLava, Molmo) with LLMs to build a custom Fishbone Analysis system for Root Cause Analysis (RCA) and Correction and Protection Analysis (CPA) using multi-modal data.

Research and innovation center at IIT Madras focused on advanced healthcare solutions leveraging robotics, AI, and medical technology.

Project Associate

• Feb, 2021 – Jun, 2022 •
Focused on robotics applications for medical surgery, including path planning, kinematics, and real-time system integration with industrial and collaborative robots.
  • Developed a complete software package in Python for robot-assisted needle-based Spine Surgery including kinematics, path planning, singularity detection, and collision avoidance.
  • Worked with KUKA industrial robots and Han’s Elfin collaborative robots, integrating real-time systems for medical applications.
  • Gained experience with ROS (Robot Operating System) for robotic software development and Intel RealSense cameras for depth sensing and 3D scanning.

Recognition

KUKA Robotics Challenge 2021 - World Top 5 Team

KUKA • 2021

Selected as one of the top 5 teams globally (Team Aroki) in the prestigious KUKA Robotics Challenge 2021.

MIPI Flare Removal Challenge - Top 5 (CVPR 2024)

CVPR • 2024

Achieved Top 5 ranking in the MIPI Flare Removal Challenge at CVPR 2024, recognizing contributions in nighttime video flare removal research.

Education

Indian Institute of Technology, Madras

Master of Science in Electrical Engineering • 2023 — 2025

Specialization in Computer Vision and Artificial Intelligence. Current CGPA: 8.00/10. Published papers in ECCVW 2024, CVPRW 2024 and ICCP 2025.

SASTRA Deemed University

Bachelor of Technology in Electronics and Communication Engineering • 2017 — 2021

Graduated with a CGPA of 8.08/10.

Personal Projects

Research Collaborator • Jun, 2024 — Present

Collaborative project with Prof. Ashwin Sankaranarayanan (CMU) focusing on leveraging radiance fields for high-quality 3D reconstructions using SPAD camera datasets as priors.

Research Assistant • May, 2024 — Jul, 2024

Synthesized video datasets using traditional and deep learning-based methods. Experimented with multiple video-based architectures to tackle nighttime flare removal challenges.

Research Assistant • Apr, 2024 — Jul, 2024

Automated dataset scraping, refinement, and annotation. Developed GAN and diffusion-based models for virtual try-on applications specific to Indian clothing.

Research Assistant • Sep, 2020 — Dec, 2020

Created a Heroku-deployed website for audio data collection. Built a custom RESNET model trained on spectrograms for detecting filler words and repetitions with 75% accuracy.

Deep Learning Engineer • May, 2020 — Aug, 2020

Developed a GAN-based deep learning model for generating pose estimation-based sign language videos. Project was part of a government-sponsored initiative with ₹4 million (~40 lakhs) in funding.

Outside Interests

In my free time, I enjoy listening to music to unwind, playing guitar as a beginner, and exploring calligraphy. I also stay engaged with AI research papers, visit new places to refresh my mind, and take part in creative activities to broaden my horizons.

Additional Links

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