Software Consultant @ TGS

Ajmal Rasi

Seasoned software engineering professional with extensive experience in scalable AI algorithms, computer vision, deep learning, and MLOps — from edge inference to petabyte-scale data platforms.

Bengaluru, Karnataka, India 6+ years experience
LinkedIn GitHub

About

I develop scalable AI algorithms and optimize software solutions across computer vision, deep learning modeling, and MLOps. My work spans open-source ML contributions, production pipelines on cloud and edge hardware, and end-to-end systems from research prototypes to deployed services.

  • Computer Vision & ADAS
  • Deep Learning & MLOps
  • Python, C++, Java
  • TensorFlow, PyTorch, OpenCV
  • GCP, Azure DevOps, Docker
  • TensorRT, DeepStream, Jetson
  • Dask, Airflow, Pub/Sub
  • NLP, Rasa, spaCy

Experience

Jul 2024 — Present

Software Engineering Consultant

TGS

Consulting on scalable AI and data infrastructure for energy analytics — building production systems with strong emphasis on maintainability, CI/CD, and cloud-native workflows.

Jul 2022 — Jun 2024

Senior Software Engineer

TGS · Bengaluru

Scaled seismic data ingestion for petabyte-scale SEG-Y files with Dask, NumPy, and GeoPandas. Built GCP pipelines on Kubernetes, Cloud Run, Airflow, and Pub/Sub, plus Azure DevOps CI/CD with automated tests and code quality checks.

May 2021 — Jun 2022

Machine Learning Engineer

Visteon India · Bengaluru

Led driver monitoring system design with Caffe, TensorFlow, and PyTorch. Ported CV models to NXP/Samsung SOCs, built 360° surround-view with C++/OpenCV/OpenGL, and delivered photometric alignment R&D for ADAS systems.

Dec 2020 — Apr 2021

Machine Learning Engineer

Zuqo Corporation · Bengaluru

Built end-to-end fingerprint ML POC with Dockerized inference on GCP, REST APIs for Android integration, and browser-based background subtraction for eKYC using MediaPipe and TensorFlow.js.

May 2019 — Nov 2019

ML & Computer Vision Engineer

Integration Wizards Solutions · Bengaluru

Production pipelines with TensorRT, DeepStream, GStreamer, and Kafka on NVIDIA Jetson. Object detection, tracking, pose estimation, and model quantization (FP32, FP16, INT8).

2018 — 2019

Software Engineer, Machine Learning

ApplicateAI (SalesCode.ai), Ceptes Software

Chatbots at scale with Rasa and spaCy, custom tokenization for local languages, and deep regression models for inventory demand forecasting and predictive analytics.

Selected Projects

Raspberry Pi 5 + Coral Edge TPU

Real-time object detection using PyCoral's optimized TensorFlow Lite API and a FastAPI server for high-performance edge inference.

LinkedIn project · 2024 — Present

Sign Language Recognition

RNN-based sign language recognition with MediaPipe.

View on GitHub →

TensorFlow YOLOv3

Pure TensorFlow YOLOv3 implementation with custom dataset training.

View on GitHub →

agenticai

Agentic AI experiments and tooling.

View on GitHub →

Contact

Best way to reach me is on LinkedIn. Open to consulting, collaboration, and interesting engineering challenges.