About me

Hey! I'm Srihith Bharadwaj Burra, a tech explorer with a passion for AI, machine learning, computer vision, and C++ development. I’m currently pursuing my M.S. in Computer Science at Stony Brook University, diving into exciting areas like computer graphics and algorithms. Lately, I’ve been exploring the world of graphics, and I love finding new ways to bring innovation to life.

Outside of the tech bubble, I’m all about puzzles. Whether it’s cracking the daily Wordle, solving crosswords, or tackling complex Japanese puzzles like Sudoku or Nonograms, I’m always up for a good mental challenge. When I'm not coding or solving puzzles, you’ll likely find me running along the beach—it's my go-to for staying active and clearing my mind.

Balancing my love for AI and C++ with a mix of creativity and problem-solving, I’m always looking for new challenges—whether in code, on paper, or along the coastline. Let’s connect and build something awesome!

What i'm doing

  • design icon

    ML

    Who needs fortune tellers when you have data science? I'm brewing up machine learning models that predict everything from inventory needs to customer behavior. It's like giving businesses a superpower to see into the future!

  • Web development icon

    Computer Vision

    I'm fascinated by how we can make machines understand visual information. From object detection to image segmentation, I'm always experimenting with new CV techniques. It's like being a digital optometrist!

  • mobile app icon

    The Art of C++

    C++ is my programming playground. I love diving into its complexities, from template metaprogramming to memory management. It's like solving a puzzle where each piece unlocks new possibilities in software development.

  • camera icon

    Computer Graphics

    I am doing several projects on Computer Graphics, mainly in OpenGL. I'm exploring the realms of 3D rendering, shader programming, and real-time graphics.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. Stony Brook University, State University of New York

    2024 — 2026

    MS in Computer Science. I am currently in my first semester, and I have taken the following course: System Fundamentals II, Analysis of Algorithms, and Computer Graphics

  2. Indian Institute of Technology, Bombay (IIT Bombay)

    2018 - 2022

    B.Tech Mechanical Engineering: Along with core courses, I have taken several courses in Computer Science such as Data Mining, Machine Learning, C Programming and Robotics

  3. Mahathi Junior College, Visakhapatnam

    2016 — 2018

    Upper Secondary Education: Maths, Physics and Chemistry are my major subjects, along with English and Sanskrit.

  4. Delhi Public School, Visakhapatnam Steel Plant

    2006 — 2016

    Schooling

Experience

  1. Senior Engineer, 3D Head Tracking & DoF, Samsung Research Institute

    2022 — 2024

    • Developed an Android app using OpenCV’s Camera Calibration and 3D Reconstruction module to capture real-time video and test re-projection errors from intrinsic/extrinsic parameters of 6+ cameras, making error testing 75% faster
    • Developed a web application for assessing image quality KPIs using feature extraction and optical flow methods

  2. Engineer, Mobile eXperience, Samsung Digital City

    2013 — 2015

    • Worked on deep learning solutions for low-light image enhancement and image denoising , deploying them on Vulkan compute pipeline, achieving an inference time < 10ms and 30% lesser photon-to-photon latency
    • Deployed quantized AI solutions on GPU and NPU of Samsung XR device using Snapdragon Neural Processing Engine

  3. Data Science Intern, Inventory Optimization, Ford Motor Co.

    2021 — 2021

    • Developed and implemented machine learning models (ARIMA, Prophet) for time-series forecasting of inventory utilization, achieving a 20% improvement in prediction accuracy compared to traditional methods
    • Engineered a feature selection pipeline using Random Forest and XGBoost to identify key factors influencing Economic Order Quantity (EOQ), resulting in optimization that led to over 15.6 Million INR in supply chain savings
    • Created an interactive dashboard using Python (Plotly, Dash) for real-time visualization of inventory trends and ML model predictions, enabling data-driven decision making for supply chain managers

My skills

  • C++ & Python
    90%
  • OpenCV, Scikit-learn
    85%
  • TensorFlow, Pytorch
    80%
  • OpenGL & Vulkan
    50%

Contact

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