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Richard Anthuvan Rosario

Full Stack & ML Engineer who builds end-to-end products - from React frontends and Django backends to production ML models. Experienced in shipping scalable systems, real-time pipelines, and data-driven applications.

ml_engineer.py
class FullStackMLEngineer:
 def __init__(self):
 self.name = "Richard"
 self.stack = {
 "frontend": ["React", "TypeScript"],
 "backend": ["Django", "Node JS", "FastAPI"],
 "ml": ["PyTorch", "scikit-learn"],
 "devops": ["Docker", "CI/CD"]
 }

 def build(self):
 return "End-to-end ML products"

Featured Projects

DSML-Fin
DSML-Fin

DSML-Fin

Interactive Streamlit app for real-time stock analysis, forecasting, and visualization. Powered by Yahoo Finance, technical indicators, and machine learning models (ARIMA, SARIMA, Random Forest, XGBoost). Key Features: Real-time data updates • Technical indicators (RSI, MACD, Bollinger Bands, etc.) • Forecasting & ML predictions •

konectapp
konectapp

konectapp

A web-based platform that connects users with skilled professionals such as mechanics, plumbers, and electricians. Users can post tasks with images and descriptions, while professionals can bid, communicate, and manage work directly through the platform. Built with Node.js, Express.js, MongoDB, EJS, and Passport.js for authentication.

Gesture_based_Authentication
Gesture_based_Authentication

Gesture_based_Authentication

A secure, gesture-driven two-factor authentication (2FA) framework combining motion detection, facial verification, and dynamic hand gesture recognition. Built with Python, YOLOv8, ArcFace, RetinaFace, and MediaPipe, it introduces a transformer-based gesture validation module and anti-repetition filtering for robust spoofing resistance.

facialAttendence
facialAttendence

facialAttendence

A Flask-based REST API for facial recognition tasks including face enrollment, search, similarity matching, and verification. Designed for attendance management and identity verification systems. Built with Python, Flask, and face recognition libraries for accurate and efficient face detection and comparison.

Experience Timeline

💼

Founding Full Stack Engineer

Siddons Yeates and Sharples Ltd
📅 Sept. 2025 – Present📍 Nottingham, United Kingdom
Architected and delivered a compliance automation platform aligning business outcomes with scalable cloud infrastructure.
Enhanced operational efficiency by 45% through automated document validation and workflow optimization.
Led system improvements across backend, frontend, and CI/CD, enabling 5-minute Docker rollouts.
Mentored engineers on full-stack practices, fostering cross-team capability growth.
🚀

Software and Data Engineer

Anteam AI (Internship)
📅 Jun. 2025 – Sep. 2025📍 Nottingham, United Kingdom
Delivered a real-time Route Analysis Platform improving internal performance by 35%.
Engineered Python microservices and optimized geospatial pipelines (10M+ records/month) for spatial analytics.
Reduced query latency by 60% via optimized similarity search and caching.
Integrated React/TypeScript frontend with REST APIs to improve data usability and user experience.
🔬

Machine Learning Engineer (R&D)

The Reciprocal Solutions
📅 Dec. 2023 – Aug. 2024📍 Coimbatore, India
Productionized research ML models into containerized AI microservices using FastAPI and Django REST.
Deployed systems handling 50K+ daily inferences with sub-second response times.
Automated data pipelines and monitoring, cutting manual intervention by 40%.
Guided engineers in MLOps, Docker orchestration, and scalable deployment practices.
📊

Data Scientist

EC Solutions (Internship)
📅 Aug. 2021 – Oct. 2023📍 Tamil Nadu, India
Developed predictive analytics and anomaly detection models, improving insight accuracy by 40%.
Automated ETL and feature pipelines, reducing data prep time by 50%.
Built dashboards and reports transforming analytical outputs into actionable KPIs.
Maintained reproducible ML workflows using version control and structured documentation.

Skills

Python
80%
Machine Learning
70%
PyTorch
80%
scikit-learn
90%
SQL (PostgreSQL)
75%
JavaScript / TypeScript
75%
React
70%
FastAPI / Django
90%
Docker / CI-CD
60%
Data Engineering
85%
Geospatial pipelines
80%
AWS / GCP
65%

About Me

about.sh

$ whoami

Hi, I'm Richard Anthuvan Rosario - a Full Stack & ML Engineer who builds end-to-end products, from React frontends to Django backends to production ML models.

$ cat expertise.txt

Frontend: React, TypeScript, Next.js
Backend: Django, FastAPI, PostgreSQL
ML/AI: PyTorch, scikit-learn, MLOps
DevOps: Docker, CI/CD, AWS, GCP

$ location

Based in Nottingham, UK. MSc AI @ University of Nottingham.

$ status

Open to Full Stack Engineer, ML Engineer, and Software Engineer roles building impactful products.

Get In Touch

contact.sh

Building Software Products and ML Systems that scale.

Open to contract work and full-time roles.

Download Resume