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Hi, I'm John Allson M

<Python Full Stack Developer | AI & ML Engineer | AI-Augmented Speed />
Equipped with modern AI developer tools to code, test & ship 3x–5x faster for global companies

Results-driven Python Full Stack Developer and AI Engineer equipped with modern AI-accelerated engineering workflows to build, test, and ship production software rapidly. Experienced in backend development (FastAPI, Django), real-time computer vision (YOLOv8), and LLM/RAG workflows. Globally open to work (Remote or Relocation) — coachable, fast to onboard, adaptable to your team's stack, and eager to undergo company training to deliver outsized impact from Day 1.

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John Allson M — Python Full Stack Developer & AI Engineer
3x–5x AI Speed

John Allson M

Python Full Stack & AI Engineer

Tuticorin • Global Remote
Python & FastAPI YOLOv8 Vision LLMs & RAG AWS EC2
4
Internships Completed
7.5
CGPA • Anna University
6+
Production AI & Web Projects
AWS EC2
Cloud Deployment & Linux
Professional Profile

Professional Summary

Dedicated to building scalable web applications, robust RESTful APIs, and production-ready machine learning solutions.

Executive Summary

Results-driven Python Full Stack Developer and AI Engineer with hands-on experience building scalable web applications, RESTful APIs, and AI/ML-powered systems. Proficient in backend development using Django, Flask, and FastAPI, with practical experience in computer vision, YOLO-based object detection, person re-identification, LLMs, and RAG pipelines. Experienced in developing and deploying AI solutions using Python and AWS, with a strong focus on building reliable, real-world applications through internships and independent projects.

HIGH-VELOCITY ENGINEERING VALUE

Why Companies Hire John Allson

Combining deep computer vision and full-stack fundamentals with modern AI-accelerated workflows to deliver outsized impact for engineering teams worldwide.

AI-Supercharged Velocity

Equipped with cutting-edge AI developer tools, LLM copilots (Cursor, GitHub Copilot, Groq), and automated scaffolding to write, debug, and ship production-grade code 3x–5x faster for fast-moving engineering teams.

Worldwide Remote & Relocation Ready

Ready to collaborate with teams anywhere globally (US, Europe, APAC, India). Strong asynchronous communication in fluent English, comfortable with international time zones, and available for immediate start.

Rapid Training & Fast Coachability

Fast learner eager to undergo company training, adapt to proprietary toolsets, and master internal frameworks. Proven adaptability across 4 diverse engineering internships in CV, ML, analytics, and IoT.

End-to-End Production Delivery

Full-stack execution from frontend user interfaces to scalable FastAPI/Django backends, real-time YOLOv8 person detection, RAG retrieval agents, and AWS EC2 cloud deployment.

Engineering Philosophy & Vision

I thrive at the intersection of full-stack software development and artificial intelligence. My vision is to create impactful technologies that solve real-world problems through robust, scalable, and high-performance engineering.

  • Full Lifecycle Engineering: Design, development, testing, documentation, and cloud deployment.
  • Real-Time AI Systems: Computer vision video stream pipelines and context-aware RAG agents.
  • Education & Foundations: B.Tech in Artificial Intelligence & Data Science from Grace College of Engineering, Anna University.
  • Open for Opportunities: Ready to contribute as a Python Full Stack Developer or AI/ML Engineer.

Backend: Django, Flask & FastAPI

Developing scalable RESTful APIs, managing asynchronous endpoints, and architecting database-driven services.

Computer Vision & YOLO

YOLO-based object detection pipelines, real-time video stream processing, and person re-identification systems.

LLMs, RAG & LangChain

Agentic workflows, context-aware retrieval pipelines with Groq API, Phidata, and Whisper speech recognition.

AWS EC2 & Cloud Deployment

Deploying web applications to AWS EC2 cloud infrastructure, Linux environments, Git, and relational databases.

Career Journey

Professional Experience

All professional internships detailed verbatim with responsibilities, technologies, and achievements.

AIML Developer Intern

Stuvalley Technology Pvt. Ltd.
November 2025 – May 2026
Remote
  • Develop and deploy AI-powered full-stack web applications using Python and AWS EC2 cloud infrastructure.
  • Build and maintain scalable RESTful APIs integrating machine learning models for real-time AI features.
  • Implement end-to-end data preprocessing pipelines and backend logic serving production ML workloads.
  • Collaborate across the full engineering lifecycle: design, development, testing, documentation, and deployment.

Junior AI Engineer Intern

Aknesys Private Limited
February 2026 – May 2026
Bengaluru, India
  • Contributed to AI-based person detection and re-identification systems using YOLO models for real-time computer vision applications.
  • Implemented and evaluated YOLO-based object detection pipelines for accurate person detection in video streams.
  • Worked on computer vision workflows involving real-time video processing, model inference, and detection results.
  • Collaborated with the AI engineering team to develop, test, and improve computer vision solutions for practical deployment.

Artificial Intelligence Intern

Innovative Company
July 2025
Tuticorin, India
  • Built AI-driven applications with Python backends and interactive web interfaces.
  • Contributed to data processing, REST API development, and ML model integration projects.

Data Analyst Intern

Thedal
December 2024 – January 2025
Thoothukudi, India
  • Automated data workflows and built web-based dashboards using Python and data visualisation tools.
  • Developed backend scripts to prepare and clean ML-ready datasets, reducing manual preparation time.
Technical Matrix

Technical Skills

Exact categories and toolsets as detailed in the resume.

AI Dev Tools & Velocity

Cursor & Copilot Agentic AI Workflows AI Code Scaffolding Groq & Whisper Fast Prototyping Automated Testing

Languages

Python JavaScript Dart SQL HTML5 CSS3

Backend & Frameworks

Django Flask FastAPI Flutter RESTful APIs

AI / ML

LLMs RAG Pipelines LangChain Groq API Whisper Scikit-learn Model Deployment

Cloud & DevOps

AWS EC2 Cloud Deployment Git GitHub VS Code Jupyter

Databases & BaaS

PostgreSQL MySQL Supabase Firebase

Libraries

Pandas NumPy Scikit-learn Phidata LangChain Groq API Whisper
Key Projects

Featured Projects

End-to-end applications and intelligent systems from the resume.

Tamil Bible With AI Mobile Application Showcase Flutter • Play Store

Tamil Bible with AI

• Engineered and published an AI-powered Tamil Bible mobile application on the Google Play Store built with Flutter.
• Architected backend data services utilizing Supabase for cloud database storage and Firebase for authentication and services.
• Features an interactive AI Study assistant ("Ask anything") for context-aware scripture queries, intelligent verse search, audio Bible playback, daily streak tracking, and Bible quizzes.

Flutter Dart Supabase Firebase Generative AI Google Play Store Audio Bible
AI Long-to-Shorts Video Repurposing Tool Groq & Whisper • Video AI

AI Video Shorts Generator (Long-to-Shorts)

• Built an automated AI pipeline to transform long-form videos into multiple viral, high-retention short clips (Shorts, Reels, TikTok).
• Uses OpenAI Whisper for audio transcription with timestamp alignment, coupled with Groq API LLM intelligence to analyze engagement, detect viral hooks, and generate clipping schedules.
• Automatically executes smart vertical 9:16 cropping, cuts key moments, and stitches multiple ready-to-publish short videos from a single source file.

Groq API Whisper Python Video Automation Smart Cropping LLM Intelligence
YouTube Automation AI Tool Interface Preview Python Full Stack

YouTube Automation AI Tool

• Engineered an end-to-end web app for automated YouTube video creation: topic generation, scraping, auto-captioning, and upload via Google APIs.
• Designed an intuitive workflow management UI enabling non-technical users to run automation pipelines.

Python Full Stack DeepSeek LLM Web Scraping Auto-Captioning Google APIs
AI Study and Research Chatbot Interface Full Stack Web Application

AI Study & Research Chatbot

• Built a context-aware conversational AI chatbot using Groq API, Phidata, and a RAG pipeline for real-time domain-specific responses.
• Delivered a responsive frontend ensuring a seamless multi-turn dialogue experience.

Full Stack Web App Groq API Phidata RAG Pipeline Vector Search
Oswald Study Assistance — AI Study Material & Diagram Generator EdTech • AI Diagrams & Notes

Oswald Study Assistance (AI Study Material & Diagrams)

• Engineered an AI-powered educational platform designed to automatically generate structured study materials, comprehensive chapter summaries, and revision notes for students.
• Features automated visual concept diagram generation (system flowcharts, node architectures, and topic schematics) to visually explain complex technical concepts alongside text.
• Includes interactive student flashcards, practice quizzes, and one-click study guide export options in PDF and Markdown formats.

Generative AI Diagram Generation EdTech Flowcharts & Schematics LLMs Study Material PDF Export
Gracemo Standalone Conversational Robot running on Raspberry Pi 5 Robotics & Embedded Hardware

Gracemo – Standalone Conversational Robot (RPi 5)

• Built as a standalone intelligent robot powered by Raspberry Pi 5 (RPi 5), handling core hardware design, circuitry, and physical integration along with embedded software modules.
• Implemented dynamic real-time facial expression rendering transmitted via VNC remote display protocols to onboard displays and external connected devices.
• Integrated voice recognition, conversational NLP pipelines, and hardware peripheral controls for an interactive, production-grade robotics experience.

Raspberry Pi 5 Hardware Engineering Embedded Python VNC / Display Sync Speech NLP IoT Robotics
Education & Languages

Academic Credentials

Educational background and linguistic capabilities.

B.Tech in Artificial Intelligence & Data Science

Grace College of Engineering, Tuticorin | Anna University
Expected 2026
CGPA: 7.5

Relevant Coursework:

Python Programming Web Development Machine Learning Data Structures Database Management

Languages

Tamil Native
English Fluent
Contact Information

Get in Touch

Direct channels for software engineering, full-stack, and AI opportunities.

FOR RECRUITERS & ENGINEERING LEADERS

Ready to Equip a High-Speed AI & Full-Stack Engineer?

I am actively interviewing and available for Full-Time, Contract, or Remote engineering roles worldwide. Equipped with cutting-edge AI developer tools to code, debug, and ship production features 3x–5x faster. Highly coachable, fast to ramp up, and eager to undergo company training and master your team's specific tech stack.

Direct Email Inquiry Chat on WhatsApp
Location
Tuticorin, Tamil Nadu, India
Profiles:

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