Adhiban Siddarth V

AI Engineer — Computer Vision & Generative AI Specialist

siddhu1131@gmail.com LinkedIn GitHub

Professional Summary

Results-oriented AI Engineer with specialized expertise in Generative AI, 3D Computer Vision, and Embedded Intelligence. Proven track record of architecting end-to-end deep learning pipelines, from 3D reconstruction and mathematical modeling to edge deployment on constrained hardware (Kneron/ESP32) and cloud scaling (RunPod/Docker). Proficient in optimizing Vision-Language Models (VLMs) and building RAG systems. Deep understanding of the mathematics behind Neural Networks combined with low-level implementation skills in C++ and Rust.

Technical Arsenal

Programming & Core

Python, C++, C, Rust, JavaScript

AI & Deep Learning

PyTorch, LLMs, RAG, OpenCV, TensorRT, 3D Vision

MLOps & Cloud

Docker, Kubernetes, FastAPI, Airflow, ONNX

Hardware

NVIDIA A100/H100, Kneron KL630, ESP32

Professional Experience

Software Engineer

Jan 2026 – Present

Pxlsense.ai | Bengaluru, India

  • Developing high-accuracy 3D reconstruction pipelines to convert 2D 360-degree captured diamond images into 3D STL models.

Research Engineer

Dec 2023 – Jan 2026

Mantra Softech India Pvt. Ltd. | Bengaluru, India

  • Successfully deployed face detection models on Kneron KL630 chips by converting ONNX to NEF formats. Engineered C/C++ inference wrappers with custom pre/post-processing modules.
  • Architected an automated training loop using PyTorch, FastAPI, and Airflow backed by PostgreSQL, significantly reducing data labeling overhead.
  • Developed real-time Video Summarization tools utilizing RAG. Integrated SOTA models (Llama 3, Gemma, Qwen) and optimized multimodal inference for latency.
  • Optimized open-source VLMs on RunPod GPUs, managing memory constraints for high-throughput inference using Docker and Kubernetes.

Data Science Intern

July 2023 – Sep 2023

Feynn Labs | Remote

  • Led the lifecycle of a machine learning project from raw data collection to Google Cloud Platform (GCP) deployment.
  • Developed Flask APIs for model serving and containerized the application using Docker for consistent deployment environments.

Key Projects

Wireless 6-DOF Robotic Arm

C++, ESP32, Python, IoT

Designed and built a 6-axis robotic arm controlled via Wi-Fi. Developed firmware in C++ for ESP32 and a desktop control interface in Python. Implemented inverse kinematics for precise pick-and-place automation.

DL Engine from Scratch

C++, Rust, Memory Safety

Implemented a fully functional Neural Network library without high-level frameworks. Focused on matrix operations, backpropagation algorithms, and memory safety to understand the low-level optimization of AI models.

Education

B.E. Electronics & Instrumentation Engineering

Arunai Engineering College, Tamil Nadu, India

2018 – 2022