class AbishekK:
def __init__(self):
self.name = "Abishek K"
self.role = "AI & ML Engineer"
self.college = "Chennai Institute of Technology"
self.degree = "BTech — AI & Data Science"
self.cgpa = 8.11
self.location = "Chennai, India 🇮🇳"
@property
def current_focus(self):
return [
"Agentic AI Systems & LLM Pipelines",
"LangChain · OpenAI · HuggingFace",
"Full-Stack AI Products",
"Competitive Programming (CP grind 🏆)",
]
@property
def currently_learning(self):
return ["RAG Systems", "Multi-Agent Frameworks", "MLOps"]
def __str__(self):
return "Turning data into decisions, models into products."|
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|
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🏪 AutoMart AI — Intelligent Retail System
An end-to-end agentic AI system built for smart retail operations
| Module | Technology | Purpose |
|---|---|---|
| 📈 Demand Forecasting | LSTM Networks | Inventory optimization |
| 👥 Customer Segmentation | K-Means Clustering | Targeted marketing |
| 🛒 Product Recommendations | Apriori Algorithm | Association rules |
| 🤖 Orchestration | LangChain Agents | Decision automation |
| 📊 Dashboard | Streamlit | Real-time KPI monitoring |
🧼 Hygen Hub — AI-Powered IoT (Maha Kumbh)
Large-scale intelligent infrastructure for public health & safety at Maha Kumbh
- 🏥 Real-time monitoring of healthcare centers, water dispensers & air filters
- ⚡ Automated action triggers for safety and hygiene events
- 🌐 Deployed at massive scale for Maha Kumbh infrastructure management
- 📡 IoT sensor integration with live anomaly detection
📊 CMR Dashboard — Intelligent Data Platform
Built during AI internship at Reach Skyline
- 🔗 Centralized multi-source data ingestion with semantic processing
- 📄 Clause-level document segmentation for precision NLP analysis
- 📊 Real-time KPI monitoring enabling faster management decisions
- 🧠 AI-powered insights layer for executive decision support
┌─────────────────────────────────────────────────────────────────────────┐
│ 🤖 AI Intern · Reach Skyline Nov 2025 – Dec 2025 │
│ → Built CMR Dashboard (AI-powered document + data platform) │
│ → Multi-source data ingestion · Clause-level NLP segmentation │
│ → Delivered production-grade AI tools in a live org environment │
├─────────────────────────────────────────────────────────────────────────┤
│ 💻 Front-End Dev Intern · Zero2Site May 2025 – Jul 2025 │
│ → Built responsive web apps with React.js, HTML/CSS, JS │
│ → Agile workflows · Git/GitHub version control │
│ → Collaborated on multiple client projects end-to-end │
└─────────────────────────────────────────────────────────────────────────┘
| Platform | Rank / Badge | Stats |
|---|---|---|
| 🟡 LeetCode | Knight 🏅 | Rating 1953 · 1000+ Problems |
| 🟢 CodeChef | 2⭐ Coder | Rating 1545 |
| 🔵 HackerRank | Active Solver | 40 Problems · Hackos 230 |
| 🔴 Codeforces | Competitive | Active Participant |
| 🟠 GeeksforGeeks | Contributor | Regular Problem Solver |
🥇 Mumbai Hacks Finalist | 🥇 Escape Da Vinci Finalist | 🏅 Grand Master of Tech Nova
| Certification | Issuer | Year |
|---|---|---|
| ☁️ AWS Cloud Virtual Internship | Edu-Skills | 2025 |
| 📡 Internet of Things | NPTEL | 2025 |
| 🌐 Networking Essentials | Cisco | Dec 2025 |
| 🔐 Cybersecurity Essentials | Cisco | Jun 2025 |
| 📊 Data Science Lab | WorldQuant University | 2025 |
"The best models are the ones that solve real problems."