Siddharth Rangwa

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Software Developer & ML Engineer

I'm |
Building Intelligence.

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Professional Core

Deep Tech.
Real Impact.

I build real-world AI systems — biometric authentication, computer vision pipelines, and LLM-powered voice agents. Passionate about turning deep learning research into production-ready applications that scale.

2+

Years Experience

6

Production Systems

01

Neural Identity

Multi-modal iris, palm, face, and voice authentication with real-time inference pipelines.

02

Computer Vision

Real-time detection and tracking with YOLOv8, DeepSORT, OpenCV, and OCR pipelines.

03

LLM & Voice AI

LLM-powered voice agents, intent classification, and RAG-based semantic systems.

04

AI Infrastructure

Scalable microservices with Flask, FastAPI, Docker, and Kubernetes on Google Cloud.

Capabilities

CORE SKILLS

01

Programming

Python JavaScript C++ SQL HTML / CSS Bash
02

ML / AI

Deep Learning Computer Vision NLP RAG LLM Generative AI AI Agents Speech Processing TensorFlow PyTorch Scikit-learn Model Optimization
03

Backend

Flask FastAPI REST APIs WebSockets Microservices Auth Systems
04

Computer Vision

OpenCV YOLOv8 Object Detection Object Tracking Image Segmentation Signal Processing OCR Biometric Recognition
05

DevOps / Cloud

Docker Docker Swarm Kubernetes CI/CD Google Cloud Model Deployment
06

Tools

Git / GitHub Linux Jupyter Postman NumPy Pandas

Portfolio

THE
GALAXY

Explore my production neural networks.

Biometric AI

Biometric
Auth

Multi-modal biometric authentication platform integrating iris, palm, face, and voice recognition using deep learning techniques with dockerized Flask APIs.

Python Flask TensorFlow OpenCV

4-Modal

Biometric Modes

NLP & Extension

Smart
Matcher

Browser extension comparing resumes with job descriptions using transformer-based NLP. Detects skill gaps, scores compatibility, and suggests improvements.

JavaScript Transformers NLP Compromise.js

95%

Match Precision

OCR & ML

Doc
Intel

ML pipeline for OCR processing, document classification, and structured information extraction from high-volume documents using CNN and transformer models.

Python CNN Transformers OCR

80%

Efficiency Boost

Vision Systems

Detection
X

YOLOv5-based object detection system optimized for lightweight edge deployment with efficient real-time inference and model optimization.

YOLOv5 Python OpenCV

Real-Time

Edge Inference

Surveillance AI

CCTV
Analytics

Real-time CCTV analytics engine — YOLOv8 person detection, DeepSORT multi-object tracking, and face recognition with automated attendance logging, served through FastAPI with a MySQL backend.

YOLOv8 DeepSORT FastAPI OpenCV MySQL

24/7

Autonomous Monitoring

Conversational AI

AI Voice
Agent

LLM-powered IVR voice agent for customer service — real-time speech-to-text and text-to-speech over Asterisk telephony, intent classification, and an 18-state conversation engine with barge-in support.

Python LLM Asterisk STT / TTS WebSockets

10

Languages Supported

Experience

CAREER PATH

01

April 2025 — Present

Software Developer

XS Infosol · Noida, India

Designing multi-modal biometric authentication integrating iris, palm, face, and voice recognition. Building image processing pipelines — preprocessing, segmentation, feature extraction — with OpenCV and TensorFlow. Deploying scalable Flask APIs with model optimization via quantization and pruning.

Python Flask TensorFlow OpenCV Docker
02

January 2025 — April 2025

Python Developer

XS Infosol · Noida, India

Built a computer vision pipeline for palm detection using OpenCV with contour analysis and adaptive thresholding. Developed RESTful APIs with Flask, managed the full dataset lifecycle, and implemented NumPy/Pandas preprocessing pipelines for model integration.

Python Flask OpenCV NumPy Pandas
03

Jul 2023 — Aug 2023

Frontend Developer Intern

RDSO · Lucknow, India

Developed responsive web interfaces for internal government systems using HTML, CSS, and JavaScript with cross-browser compatibility. Integrated frontend components with backend services via RESTful APIs and applied structured debugging practices to improve code quality.

HTML/CSS JavaScript REST API
04

2020 — 2024

B.Tech — Computer Science

Dr. A.P.J. Abdul Kalam Technical University · Lucknow

Specialized in Machine Learning, Deep Learning, and Computer Vision. Coursework included Data Structures, Algorithms, and Database Systems.

CGPA 7.7/10 ML / DL Computer Vision

Continuous Learning

CERTIFICATIONS

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