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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.

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

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

Featured Projects

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 •

Jupyter Notebook
★ 1View Project →
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.

EJS
★ 1View Project →
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.

Python
0View Project →
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.

Python
★ 1View Project →

Technical Skills

Python
Machine Learning
PyTorch
scikit-learn
SQL (PostgreSQL)
JavaScript / TypeScript
React
FastAPI / Django
Docker / CI-CD
Data Engineering
Geospatial pipelines
AWS / GCP

Experience

Founding Full Stack Engineer

Siddons Yeates and Sharples Ltd
Sept. 2024 – Present
â–¹Architected and delivered a compliance automation platform aligning business outcomes with scalable cloud infrastructure.
â–¹Enhanced operational efficiency by 45% through automated document validation and workflow optimization.
â–¹Led system improvements across backend, frontend, and CI/CD, enabling 5-minute Docker rollouts.
â–¹Mentored engineers on full-stack practices, fostering cross-team capability growth.

Software and Data Engineer

Anteam AI (Internship)
Jun. 2025 – Sep. 2025
â–¹Delivered a real-time Route Analysis Platform improving internal performance by 35%.
â–¹Engineered Python microservices and optimized geospatial pipelines (10M+ records/month) for spatial analytics.
â–¹Reduced query latency by 60% via optimized similarity search and caching.
â–¹Integrated 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
â–¹Productionized research ML models into containerized AI microservices using FastAPI and Django REST.
â–¹Deployed systems handling 50K+ daily inferences with sub-second response times.
â–¹Automated data pipelines and monitoring, cutting manual intervention by 40%.
â–¹Guided engineers in MLOps, Docker orchestration, and scalable deployment practices.

Data Scientist

EC Solutions (Internship)
Aug. 2021 – Oct. 2023
â–¹Developed predictive analytics and anomaly detection models, improving insight accuracy by 40%.
â–¹Automated ETL and feature pipelines, reducing data prep time by 50%.
â–¹Built dashboards and reports transforming analytical outputs into actionable KPIs.
â–¹Maintained reproducible ML workflows using version control and structured documentation.

About Me

about.sh

$ whoami

Hi, I'm Gratus 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