class SanjayPhilip:
def __init__(self):
self.role = "Full-Stack Developer & ML Engineer"
self.location = "Kottayam, Kerala 🇮🇳"
self.education = "Integrated MCA (Final Year) | CGPA: 8.69"
self.college = "Saintgits College of Engineering (KTU)"
self.building = "AI Traffic Analytics Platform 🚦"
self.motto = "Build → Break → Deploy → Repeat 🔥"
def get_interests(self):
return [
"🌐 Web Development — Full-stack apps that solve real problems",
"🤖 AI / ML — From model training to production deployment",
"☁️ MLOps — Bridging AI research with real-world systems",
"🚦 Computer Vision — YOLOv8, OpenCV, real-time inference"
]
def get_currently_learning(self):
return ["Docker & Kubernetes", "CI/CD Pipelines", "Cloud Architecture"]
def get_open_to(self):
return ["Software Engineer", "Full-Stack Dev", "ML / MLOps Engineer"] |
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I don't just build UIs or train models — I bridge both worlds. From React frontend to Docker deployment, I own the entire pipeline. |
Every project ships with real numbers. 90%+ detection accuracy, ~30% faster query resolution, ~40% less manual work — results over effort. |
Projects don't die in localhost here. Vercel, Railway, Render — if it can be deployed, it will be deployed. |
| Domain | Proficiency | Details |
|---|---|---|
| Full-Stack Web Development | ████████░░ Advanced | React.js · Node.js · Flask · FastAPI · RESTful APIs · PostgreSQL |
| AI / Computer Vision | ███████░░░ Advanced | YOLOv8 object detection · 90%+ accuracy · OpenCV · real-time inference |
| Natural Language Processing | ███████░░░ Advanced | BERT · GPT-2 · multi-turn chatbots · ~30% query resolution improvement |
| MLOps & Deployment | ██████░░░░ Proficient | Docker · GitHub Actions · CI/CD pipelines · Vercel · Railway · Render |
| Python Automation | ████████░░ Advanced | OOP modules · ETL workflows · ~40% manual effort reduction · Pytest |
| Database Design | ███████░░░ Advanced | MySQL · MongoDB · SQLAlchemy · normalized schemas · RBAC |
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Personal portfolio website showcasing projects, skills, and experience. Built with modern web technologies and deployed for the world to see. Highlights:
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Real-time AI traffic analytics using YOLOv8, FastAPI, and OpenCV. Upload traffic videos for multi-class vehicle detection, congestion analysis, and interactive dashboards. Highlights:
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Full-stack attendance management with AI-powered facial recognition, real-time analytics dashboards, and cloud deployment on Vercel & Railway. Highlights:
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Train, track, containerize, and deploy ML models with automated CI/CD. FastAPI REST API for model serving with GitHub Actions → Render pipeline. Highlights:
|
AI-powered subtitle generation auto-transcribing video/audio to synchronized SRT/VTT subtitles using OpenAI Whisper with glassmorphism React UI. Highlights:
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Intelligent music discovery platform with ML recommendation engine that learns preferences and surfaces tracks users will actually love. Highlights:
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Full-stack task management app with drag-and-drop Kanban boards, priority tagging, deadline tracking, and REST API backend. Highlights:
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Full-stack blood donation management system with automated blood-type compatibility matching, role-based auth, and normalized 5-table schema. Highlights:
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Collection of Python scripts and OOP utilities to automate repetitive workflows, data processing, and everyday developer tasks. Highlights:
|
May 2026 – Jun 2026 · ML & AI Intern · NextgenPro
- 🎯 Implemented YOLOv8 object detection achieving 90%+ accuracy across 5+ object classes for real-time video analysis
- 💬 Developed NLP chatbot with BERT/GPT-2 and multi-turn context retention, reducing query resolution time by ~30%
- ⚡ Optimized model inference pipeline, cutting latency by ~25%
- 📈 Fine-tuned 3 pre-trained models on custom datasets, improving baseline accuracy by ~15%
Jun 2025 · Python Development Intern · Spectrum Soft Tech Solutions
- 🤖 Automated 3 repetitive data-processing workflows via Python scripts, cutting manual effort by ~40%
- 🧱 Structured reusable OOP modules improving maintainability across 2 projects
- 🐛 Traced and corrected 5+ logic errors in production scripts, boosting output accuracy
Jun 2024 – Jul 2024 · Software Development Intern · Tisser Technologies
- ⚛️ Built 3+ responsive React.js/Node.js modules achieving ~20% improvement in page load speed
- 🔗 Integrated 5+ RESTful APIs connecting React frontend with Node.js backend services
- ♻️ Consolidated 2 legacy UI components into reusable functional components, reducing duplication by ~30%
- 🐞 Resolved 10+ bugs across 5 agile sprint cycles
| Achievement | Metric | Context |
|---|---|---|
| 🎯 Object Detection Accuracy | 90%+ across 5+ classes | YOLOv8 @ NextgenPro |
| ⚡ Inference Latency Reduction | ~25% faster | Pipeline optimization @ NextgenPro |
| 🤖 NLP Query Resolution Speed | ~30% improvement | BERT/GPT-2 chatbot @ NextgenPro |
| 🔧 Automation Efficiency | ~40% less manual work | Python workflows @ Spectrum |
| ♻️ Code Duplication Cut | ~30% reduction | React refactor @ Tisser Technologies |
| 🚀 Page Load Performance | ~20% speed gain | React modules @ Tisser Technologies |
| 📦 Shipped Projects | 8+ deployed | Vercel · Railway · Render |
| 🛠️ Technologies in Production | 15+ tools | Full-stack + ML + DevOps |
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# sanjay_philip — current_focus.yaml
building:
- name: "AI Traffic Analytics Platform"
stack: [YOLOv8, FastAPI, OpenCV, React, Tailwind]
description: "Real-time vehicle detection + congestion analytics dashboard"
status: "🔥 In Active Development"
learning:
- "Docker & Kubernetes — container orchestration at scale"
- "CI/CD pipeline architecture — GitHub Actions to cloud"
- "Cloud Architecture — scalable ML deployment patterns"
exploring:
- "MLOps best practices — experiment tracking & model versioning"
- "Advanced NLP — fine-tuning LLMs on custom datasets"
- "Real-time computer vision systems at production scale"
open_to:
- "Software Engineer → Campus Placement / Full-Time"
- "Full-Stack Developer → Full-Time / Contract"
- "ML / MLOps Engineer → Full-Time / Internship"
- "Open Source Collab → Always open 🤝"
