class HarshaVardhanReddyEmani:
def __init__(self):
self.role = "AI Research & Systems Engineering Student"
self.location = "Andhra Pradesh, India"
self.education = "B.Tech CSE @ VVITU • GPA: 8.7 / 10"
self.live_system = "SocialGPT — Production Multi-Agent RAG (5,000+ users)"
self.url = "socialgpt.aihub-vvitu.social"
self.expertise = [
"LLM fine-tuning: LoRA, SFTTrainer, DDP on AMD MI300X / Intel Gaudi3 / NVIDIA L40S",
"Multi-agent orchestration with LangGraph + Claude claude-opus-4-6",
"Full RAG pipelines: PDF ingestion → HNSW vector search (SurrealDB)",
"HPC: OpenMP, Berkeley DB, performance profiling, C/C++ graph structures",
"Production infra: FastAPI, Docker, Prometheus, Grafana, LangSmith",
]
self.currently = [
"Maintaining SocialGPT in production (8 specialized sub-agents, RBAC, multilingual)",
"Exploring mechanistic interpretability & AI safety research",
"Contributing to AIHUB VVIT — mentoring 100+ peers in applied ML",
]
self.languages = {
"code": ["Python", "C", "C++", "TypeScript", "SQL", "Java", "Dart"],
"spoken": ["English", "Telugu", "Hindi", "Tamil (system support)"],
}
self.mission = "Build AI systems that are powerful, safe, and genuinely useful."| 🚀 Shipped | 🔬 Trained | 🏛️ Spoken | 🤝 Mentored |
|---|---|---|---|
| SocialGPT in production serving 5,000+ users | Medical LLM (7B) via LoRA on 8× AMD MI300X | SCI 2025 — 3-hr tutorial on LLM Math Foundations | 100+ peers at AIHUB VVIT |
Languages
LLM · Agents · ML
HPC · GPU Platforms
Databases · Vector Search
Infrastructure · Observability
Frontend
|
Live @ socialgpt.aihub-vvitu.social
|
Fine-tuning & training across AMD, Intel, NVIDIA GPU platforms
|
|
Production-grade coding performance dashboard
|
ML pipeline relevant to scalable oversight & prompt robustness
|
┌──────────────────────────────────────────────────────────────────────────────────────┐
│ 🎤 Technical Speaker — SCI 2025 Conference December 2025 │
│ 3-hour tutorial: "Mathematical Foundations for Large & Small Language Models" │
│ Live LLM deployment + benchmarking across Gaudi3 · MI300X · NVIDIA │
│ Covered: Transformer internals · attention · positional encodings · scaling │
├──────────────────────────────────────────────────────────────────────────────────────┤
│ 🖥️ HPC Intern — CDAC Pune (National Supercomputing Mission) Apr–Jun 2025 │
│ Project: High-Performance Data Management for Telecom Traffic (Berkeley DB) │
│ C/C++ graph structures for networks with millions of nodes & edges │
│ OpenMP parallelization · HPC cluster profiling · scalable visualization │
├──────────────────────────────────────────────────────────────────────────────────────┤
│ 🧑💻 Core Member & Platform Manager — AIHUB VVIT 2023–Ongoing │
│ Mentoring 100+ peers in applied ML · 3–4 hackathons/year │
│ Architected & maintain official AIHUB VVIT website & backend infra │
└──────────────────────────────────────────────────────────────────────────────────────┘
| Project | Description | Stack |
|---|---|---|
| 🎯 SmartJob V2 | Fresher jobs & internship platform — real-time scraping (LinkedIn, Naukri, Internshala), resume builder, intelligent caching | React, TypeScript, Vite, Tailwind |
| 🌾 FarmConnect | Cross-platform agricultural mobile app with light/dark theming and advanced routing | Flutter, Dart |
| 💰 Crop Price Predictor | Deep learning price forecasting with R² & MAPE evaluation | Keras, TensorFlow, Python |
| 📡 Network Traffic Prediction | Dual ARIMA + LSTM time-series forecasting with auto parameter selection | TensorFlow, Python |
| 💳 Amazon ML Challenge | Optimal pricing for 75K+ products via multi-modal ML (catalog text + images) | Python |
| 🕷️ Web Scraping | Multi-library scraping with BeautifulSoup, Scrapy & Selenium | Python |
| 🔍 Information Retrieval | Advanced IR algorithms and search systems | Python, NLP |
| 🤖 Machine Learning | Collection of ML algorithms and implementations | Python, Scikit-learn |
| 📊 Data Analysis | Comprehensive data analysis projects | Python, Pandas, NumPy |
| Certification | Issuer | Year |
|---|---|---|
| 🤖 Generative AI (LLMs, prompt engineering, responsible AI) | Google Cloud Skill Boost (L4G) | 2024 |
| ☕ Programming in Java (OOP, multithreading, exception handling) | NPTEL | 2024 |
| 👥 ACM Student Member (seminars, coding events, technical talks) | ACM | Ongoing |
Open to discussing LLM systems, multi-agent architectures, HPC/GPU training, AI safety, and production AI infrastructure.
📧 ehvrreddy456@gmail.com | 📍 Andhra Pradesh, India | 🌐 socialgpt.aihub-vvitu.social | ⚡ Replies within 24 hrs
