AKHIL M.
// INITIALIZING CREATIVE ARCHITECTURE
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✦ MECHANICAL ENGINEER → AI LEAD → DEVELOPER

AKHIL M.

Engineering meets artificial intelligence. Transforming core machine logic into scalable software platforms, computer vision engines, and AI-driven applications.

Explore Works AnimeJS Playground
✦ AI LEAD
✦ PYTHON & JAVA
✦ MACHINE LEARNING
✦ VUE.JS & FLASK
✦ LLM FINE-TUNING
✦ COMPUTER VISION
✦ CAD & FUSION360
01 / Motion & Physics

Interactive Playground

Real-Time Motion Sandbox

Trigger AnimeJS stagger algorithms, shape vector morphs, and spring physics tension.

Stagger Delay 30ms
Spring Tension 80

💡 Powered by anime.stagger() and vector morphing.

02 / Background & Vision

Engineering Logic

Akhil M Profile
📍 Palakkad, Kerala, India 🇮🇳

Dynamic professional transitioning from Mechanical Engineering to software development and AI engineering. Expert at translating physical systems thinking into high-performance web and ML architectures.

Proficient in Python, Java, Machine Learning, and Generative AI. Hands-on experience in building scalable web platforms with Vue.js, Flask, and SQLite. Currently leading AI training initiatives at We Guide.

0
Projects Built
0
Years Exp
0
Tech Stack
03 / Capabilities

Tech Arsenal

Programming Languages
Python95%
JavaScript82%
Java72%
C68%
AI & Machine Learning
Prompt Engineering92%
Generative AI & LLMs88%
Natural Language Processing78%
Fine-Tuning Models75%
Web Development Stack
Vue.js Flask HTML5 CSS3 JavaScript SQLite Bootstrap
ML Libraries & CAD Tools
PyTorch TensorFlow Scikit-Learn Streamlit OpenAI API Ollama Fusion360 Ansys
04 / Journey

Career Experience

Jun 2025 — Present We Guide

AI Lead

Drove the development of a skilled tech workforce by leading startup teams in delivering intensive Python programming & AI workshops. Partnered with academic institutions and spearheaded curriculum design.

Jan 2024 — May 2025 Trilacious Labs

Machine Learning Engineer

Built custom ML predictive models and real-time inference pipelines for practical IoT deployment, reducing operational anomaly detection response times.

Mar 2024 — May 2024 Qapp AI

AI Intern

Collaborated on contract analysis platforms, developing NLP and RAG (Retrieval-Augmented Generation) document parsing pipelines to automate key clause extraction.

05 / Portfolio

Featured Projects

01

Library Management System

Full-stack cataloging platform managing over 1,000+ books with 95% user satisfaction rate. Reduced report generation time by 40%.

Python Flask HTML5/CSS3 Bootstrap
02

Face Recognition Attendance

Computer vision automated attendance system powered by MTCNN and InceptionResnetV1 deep learning face embeddings for instantaneous capture.

Python OpenCV MTCNN Flask
03

Influencer Sponsor Platform

SaaS ecosystem connecting 500+ influencers and 200 sponsors. Improved sponsor engagement by 30% and interaction speed by 25%.

Vue.js JavaScript SQLite Matplotlib
04

Personal Assistant Bot

AI-driven conversational agent integrating local (Ollama) and cloud (OpenAI) LLMs, reducing user task scheduling time by 35%.

Ollama OpenAI Streamlit Python
06 / Academics

Where I Learned

01 / 03

Diploma in Data Science

IIT Madras
2024 — 2025
02 / 03

Diploma in Programming

IIT Madras
2023 — 2024
03 / 03

B.Tech in Mechanical Engineering

APJ Abdul Kalam Technological University
2018 — 2022
07 / Command Line

Developer Terminal

akhil@trionn-studio:~ — zsh
Welcome to Akhil's TRIONN CLI environment.
Type help and press Enter to execute commands.
akhil@portfolio:~$

LET'S BUILD
SOMETHING
GREAT.

Open to full-time engineering roles, AI consulting, high-impact collaborations, and freelance opportunities. Feel free to reach out!