Nitish Garg

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Computer Vision and Machine Learning.
Developed advanced algorithms for video quality assessment.
Strong background in C++ and performance optimization.

Stackforce AI infers this person is a Machine Learning and Computer Vision specialist in the Media Processing industry.

Contact

Skills

Core Skills

Computer VisionMachine Learning

Other Skills

C (Programming Language)C++Intel SIMDCUDAParallel ProcessingImage ProcessingLangChainAlgorithmsEmbedded SystemsPrompt EngineeringSIMDPythonJavaDeep LearningKeras

About

Always working towards perfection with high level of integrity, intent and capability. Skilled in C++, Python, DSA and Intel Intrinsics. Interested in the field of Machine Learning and Image Processing. My main interests are object detection problem statements.

Experience

5 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

3 yrs 4 mos

Current Experience

Nvidia

System Software Engineer

Dec 2022 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

C (Programming Language)Computer Vision

Interra systems

2 roles

Software Engineer

Jul 2020 – Dec 2022 · 2 yrs 5 mos

Worked on development and enhancements of computer vision and machine learning in QC tool, BATON.
Enhancement of existing black frame detection algorithm for uncompressed video sequences.
Enhancement of existing algorithm for freeze frame detection in uncompressed video sequences.
Co-designed and implemented a C/C++ neural network library supporting feed-forward and backpropagation across core CNN layers for ML-based artifact detection in existing QC workflows.
Enhancement and fine-tuning of OCR pipeline integrating CRAFT (Character Region Awareness for Text Detection) for text detection and MORAN (Multi-Object Rectified Attention Network) for text recognition from video frames.
Worked on low-level performance optimizations using Intel SIMD intrinsics (SSE3 / AVX-512) to improve execution efficiency of compute-intensive video processing modules.
Designed and developed QR code encoding and decoding algorithms from scratch based on ISO/IEC 18004 standard specifications.

C++Computer VisionMachine Learning

Software Engineer Intern

Jan 2020 – Jun 2020 · 5 mos

Worked on research and development of No-Reference Objective Video Quality Assessment (NR-VQA) checks for BATON, a broadcast-grade automated QC platform used for compliance verification of media assets across OTT and linear delivery workflows.

C++C (Programming Language)

Centre for development of advanced computing

Machine Learning Trainee (Hands-on Training)

Jun 2018 – Jul 2018 · 1 mo · Mohali, Punjab · On-site

Completed hands-on Machine Learning training at C-DAC Mohali (2017), using Python and R for practical exercises in RStudio.
Built end-to-end ML workflows including data preprocessing (cleaning, encoding/scaling, train/test split), model evaluation, and common supervised/unsupervised algorithms.