ADHIBAN SIDDARTH V

AI Engineer | Computer Vision & Generative AI Specialist

siddhu1131@gmail.com
+91 77080 26443
LinkedIn Profile
github.com/Adhiban1

PROFESSIONAL SUMMARY

Results-oriented AI Engineer with specialized expertise in Generative AI, Computer Vision, and Embedded Intelligence. Proven track record of architecting end-to-end deep learning pipelines, from 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

MLOps & Cloud

Docker Kubernetes FastAPI Airflow ONNX

Hardware

NVIDIA A100/H100 Kneron KL630 ESP32

PROFESSIONAL EXPERIENCE

Research Engineer

Dec 2023 – Present
Mantra Softech India Pvt. Ltd.

Previously Research Associate Intern (Promoted)

  • Embedded AI Deployment: 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.
  • Active Learning Pipeline: Architected an automated training loop using PyTorch, FastAPI, and Airflow backed by PostgreSQL, significantly reducing data labeling overhead.
  • Generative AI & RAG: Developed real-time Video Summarization tools utilizing RAG. Integrated SOTA models (Llama 3, Gemma, Qwen) and optimized multimodal inference for latency.
  • Infrastructure Scaling: 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
  • End-to-End ML Production: Led the lifecycle of a machine learning project from raw data collection to Google Cloud Platform (GCP) deployment.
  • Containerization: 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

2018 – 2022