19.0330° N,73.0297° Emohammadjaan
/ AI Engineering
/ Machine Learning
/ Software Development
I write code and train models. Some projects turn out great, others teach me what not to do next time. Either way, I'm building.
a b o u t m e
1/5
about me
intro/1
about me
Hello!
I'm Mohammad Jaan
my journey →
I recently completed my Computer Engineering degree from K. J. Somaiya Institute of Technology. I spend most of my time working with AI, machine learning, and full-stack development, building things that solve real problems and exploring what's possible with technology.
r e c e n t w o r k s
import sys
import asyncio
# CRITICAL: Set event loop policy FIRST before any async imports
if sys.platform == 'win32':
import nest_asyncio
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
nest_asyncio.apply() # Allow nested event loops
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
import uvicorn
Autonomous Job Application Agent
AI-Powered Job Search Automation
Architected an autonomous AI agent that orchestrates the scraping, analysis, and application process for 200+ daily job listings across 6+ Job Listing platforms. Built a real-time analytics dashboard using Next.js 14 to track application status, reducing manual job search overhead by 80% (approx. 15 hours/week saved).
// DebateEngine.tsx
import { useEffect, useState } from 'react';
import { useDebateStore } from '@/store/debateStore';
import { GoogleGenerativeAI } from '@google/generative-ai';
interface Persona {
name: string;
philosophy: 'utilitarian' | 'deontological' | 'virtue' | 'care' | 'contractarian';
systemPrompt: string;
}
const personas: Persona[] = [
{ name: 'Marcus', philosophy: 'utilitarian', systemPrompt: '...' },
{ name: 'Immanuel', philosophy: 'deontological', systemPrompt: '...' },
];Ethical AI Debate Simulator
Multi-Agent Philosophical Debate Platform
Engineered a multi-agent debate platform that simulates complex ethical dilemmas, utilizing Google Gemini API to power 5 distinct philosophical personas (Utilitarian, Deontological) with consistent reasoning capabilities. Developed a high-performance frontend with React 18 and Zustand to handle real-time stream updates.
# plantClassification.py
from ultralytics import YOLO
import cv2
import numpy as np
class PlantClassifier:
def __init__(self, model_path='herbvision_best.pt'):
self.model = YOLO(model_path)
def classify_plant(self, image_path):
results = self.model(image_path)
for result in results:
boxes = result.boxes
for box in boxes:HerbVision
Ayurvedic Plant Identifier
Deep Learning Mobile App for plant recognition achieving 93% mAP using YOLOv8 for real-time object detection on 200+ Ayurvedic medicinal plants across 5000+ curated images. Fine-tuned and quantized the model from 120MB to 40MB (67% reduction) for mobile deployment while maintaining 91% accuracy.
e x p e r i e n c e
July 2025 – October 2025
Andheri E, Mumbai
TickleRight Eduventures Pvt. Ltd.
Software Developer Intern
- →Engineered 'TickleGram,' a centralized customer engagement platform, by integrating Instagram/Facebook Graph APIs and WebSockets, enabling real-time synchronization of 5,000+ daily messages across 50+ client accounts.
- →Reduced support team response latency by 40% by architecting a unified chat interface with automated ticket assignment and status tracking features.
- →Designed a secure video streaming infrastructure for the B2B Teacher Training platform, implementing AWS CloudFront Signed URLs and HLS chunking to eliminate unauthorized content downloads and reduce bandwidth costs by 15%.
January 2025 – June 2025
Remote
ExcelR Solutions
Full-stack Development Intern
- →Developed the 'Mumbai Tourist Portal' using React, Node.js and MongoDB, implementing JWT-based authentication.
- →Optimized frontend rendering performance by 30% through the implementation of React.memo and lazy loading strategies for image-heavy attraction galleries.
- →Integrated Google Maps API to provide real-time routing and distance calculation, enhancing the itinerary planning experience for end-users.
December 2023 – February 2024
Remote
Claidroid Technologies Pvt. Ltd.
Machine Learning Intern
- →Developed a high-accuracy botanical classification system using YOLOv8, implementing advanced transfer learning techniques to handle class imbalance across 200+ Ayurvedic plant species.
- →Architected a robust data ingestion workflow, collecting and annotating over 2000+ images to create a proprietary dataset, validating ground truth labels to ensure 89% model accuracy.
- →Optimized the deep learning model for mobile devices using TensorFlow Lite (TFLite), reducing model size by 60% to ensure low-latency inference.
Education
B.Tech in Computer Engineering
K. J. Somaiya Institute of Technology
Honours in Artificial Intelligence and Machine Learning
K. J. Somaiya Institute of Technology
s k i l l s & t o o l s
Python
JavaScript
TypeScript
C/C++
SQL
HTML/CSS
React
Next.js
Node.js
PHP
MongoDB
PostgreSQL
PyTorch
TensorFlow
Vertex AI
GCP
FastAPI
Git
Docker
AWS
AI & ML
Generative AI, Machine Learning, NLP, Reinforcement Learning, Neural Networks, Game Theory
Full Stack
MERN Stack, RESTful APIs, Database Design, Server Deployment
Tools & Practices
Git/GitHub, Docker, CI/CD, Agile Methodologies, Postman