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Building intelligent systems that ship to production.
class VishwajeetSinghRana:
role = "Senior Lead Engineer"
experience = "13+ years"
location = "India"
email = "vishwajeetsinghrana8@gmail.com"
specializations = [
"Python Development", "Artificial Intelligence",
"Machine Learning", "Deep Learning",
"Computer Vision", "Natural Language Processing",
"Generative AI / LLMs", "MLOps & Cloud",
]
currently_exploring = [
"LangGraph Agentic Workflows",
"Multi-modal LLMs",
"LLMOps at Scale",
]
fun_fact = "I turn coffee and data into production AI systems ☕🤖"Senior Lead Engineer with 13+ years delivering impactful AI solutions — from real-time object detection pipelines and autonomous driving components to enterprise LLM applications and RAG-powered knowledge systems. Proven track record shipping models from experiment to production on AWS, Azure, and GCP.
ANN CNN RNN LSTM GAN Transformers YOLO v3/v4 SSD MobileNet Mask R-CNN CUDA
LLaMA Falcon DeepSeek BERT T5 Pegasus Stable Diffusion
RAG LlamaIndex LangGraph LangSmith AutoGen PhiData LangServer
Prompt Engineering NLTK SpaCy LLMOps
SageMaker Bedrock Lambda Vertex AI Azure ML Airflow Databricks CI/CD GitHub Actions
Flask Django Streamlit Gradio Taipy PySpark Scala SQL Neo4j GraphQL
Raspberry Pi NVIDIA Jetson TX2 NVIDIA Nano Xilinx Zynq UltraScale+
Beaglebone Black Arduino LiDAR GPS IMU MQTT LORA Zigbee Bluetooth
|
Real-time lane detection using deep learning + computer vision. Handles curved roads and occlusions.
|
Real-time drift detection with visual/audio alerts to prevent accidents on diverse road conditions.
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YOLOv4 deployed on Raspberry Pi 4 to detect unregistered vehicles. Integrated with IoT predictive maintenance platform.
|
Workspace automation: Attendance, Cafeteria, Visitor Management, HVAC, Desk Booking — unified under one ML backbone.
|
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GPT-4o + LangChain + AWS Bedrock chatbot. Reduced query resolution time by 40%.
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Gemini 1.5 Pro + RAG + LangChain for symptom diagnosis, treatment suggestions, and preventive healthcare.
|
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Pegasus transformer summarising PDFs & DOCX. Reduced manual review time by 60% in legal/academic workflows.
|
Regression-based ML model predicting second-hand car prices from multi-source datasets (Quikr etc.).
|
| Metric | Result |
|---|---|
| 🕐 Customer query resolution time | ↓ 40% via GPT-4o chatbot |
| 📋 Manual document review time | ↓ 60% via Pegasus summarizer |
| 🏭 Enterprise workspaces automated | Attendance · Cafeteria · HVAC · Desk Booking |
| 📅 Years of AI/ML experience | 13+ |
| 🤖 Production AI projects shipped | 8+ |
┌─────────────────────────────────────────────────────────────────────┐
│ 🔭 Exploring → Multi-agent LLM orchestration with LangGraph │
│ 🌱 Learning → Multi-modal foundation models & vision-language │
│ 🔧 Building → Production RAG pipelines with LlamaIndex │
│ 💡 Research → LLMOps monitoring & evaluation frameworks │
│ 🤝 Open to → Senior roles · Consulting · AI research collab │
└─────────────────────────────────────────────────────────────────────┘
Computer Vision ████████████████████ 95%
Deep Learning ███████████████████░ 92%
Generative AI / LLMs ██████████████████░░ 88%
Cloud MLOps █████████████████░░░ 82%
NLP & Text Intelligence ████████████████░░░░ 80%
Embedded / IoT AI ███████████████░░░░░ 78%
