Building scalable software systems, cloud-native applications, intelligent platforms, and GPU-accelerated solutions.
🎓 University of Washington • 🎓 Birla Institute of Technology Mesra
Software Engineer with a passion for building scalable software, cloud-native platforms, and AI-powered applications.
My interests span Software Engineering, Cloud Computing, Data Engineering, Artificial Intelligence, Distributed Systems, Backend Development, and High-Performance Computing.
I enjoy solving complex engineering problems and building production-ready systems that are efficient, reliable, and designed to scale.
| 🎓 Education | M.S. Computer Science & Software Engineering, University of Washington |
| 💼 Focus | Software Engineering, Cloud Engineering, AI/ML |
| ☁️ Cloud | Google Cloud Platform • AWS |
| 🤖 AI | Machine Learning • Computer Vision • LLMs |
| ⚡ Performance | CUDA • High Performance Computing |
| 🏗️ Specialties | Distributed Systems • Backend Development • Data Engineering |
|
Co-Founder & Chief Technology Officer
|
Teaching Assistant
|
|
React Native Developer
|
Business Technology Analyst
|
Full Stack AI Cloud RAG
End-to-end AI startup intelligence platform that aggregates startup data and enables semantic search, Retrieval-Augmented Generation (RAG), analytics dashboards, and natural-language querying.
✨ Highlights
- 🔍 Semantic Search & Vector Embeddings
- 🤖 Google Gemini + RAG
- 📊 Interactive Analytics Dashboard
- ⚡ Full-Stack Architecture
🛠️ Tech Stack
Python FastAPI React PostgreSQL
Sentence Transformers Google Gemini
Vector Search RAG
Cloud AI Data Engineering ML
AI-powered career discovery platform that recommends scholarships, internships, fellowships, and jobs using cloud-native data pipelines, vector search, and Retrieval-Augmented Generation (RAG).
✨ Highlights
- 🎯 Personalized Career Recommendations
- ☁️ Streaming ETL Pipelines
- 🔍 Semantic & Vector Search
- 📊 BigQuery Analytics
- 📈 MLflow Experiment Tracking
🛠️ Tech Stack
Python Google Cloud BigQuery
MLflow Streaming ETL
Vector Search RAG
Research AI/ML Computer Vision Healthcare
Research-driven rehabilitation platform developed in collaboration with the University of Washington and Harborview Medical Center, combining Mixed Reality, EEG/EMG biofeedback, and deep learning to assist stroke patients with upper-limb recovery.
✨ Highlights
- 🥽 Mixed Reality Rehabilitation
- 🧠 EEG & EMG Signal Processing
- 🤖 Deep Learning Classification
- 🏥 Clinical Research Collaboration
🛠️ Tech Stack
Python PyTorch TensorFlow
MATLAB Mixed Reality
CNN RNN LSTM SVM
CUDA GPU Computing HPC C++
Collection of GPU-accelerated applications demonstrating high-performance computing techniques for machine learning, computer vision, simulation, and real-time analytics.
✨ Featured Projects
- 🚗 Real-Time Traffic Analysis
- 🌊 Particle Simulation
- 🎤 Speech Feature Extraction
- 🤖 LLM Inference Optimization
- 📊 CUDA K-Means Clustering
🛠️ Tech Stack
CUDA C++ OpenCV
TensorRT cuDNN
GenAI LLM Cloud NLP
GenAI-powered resume analysis platform that extracts skills, identifies competency gaps, and generates ATS-friendly recommendations using semantic similarity and open-source large language models.
✨ Highlights
- 🤖 Resume Skill Extraction
- 📊 ATS Optimization
- 🧠 Semantic Similarity Search
- ☁️ Cloud-Native Architecture
🛠️ Tech Stack
Python FastAPI
Open-Source LLMs
Semantic Search
Google Cloud
Computer Vision Algorithms OpenCV Research
Computer vision system implementing hierarchical vocabulary trees for scalable image retrieval and real-time object recognition using modern local feature descriptors.
✨ Highlights
- 🌳 Hierarchical Vocabulary Trees
- 👁️ Real-Time Object Recognition
- 📷 Feature Detection & Matching
- 📈 Large-Scale Image Retrieval
🛠️ Tech Stack
Python OpenCV
SIFT ORB
AKAZE BRISK
K-Means
|
|
Software Engineering ████████████████████ 100%
Cloud Computing ██████████████████░ 95%
Artificial Intelligence ██████████████████░ 95%
Machine Learning █████████████████░░ 90%
Distributed Systems █████████████████░░ 90%
CUDA Programming ████████████████░░░ 85%
Data Engineering ████████████████░░░ 85%
Mobile Development ██████████████░░░░░ 75%
- 🤖 Agentic AI & Multi-Agent Systems
- 🧠 Advanced Retrieval-Augmented Generation (RAG)
- ☁️ Cloud-Native AI Architectures
- ⚡ GPU Optimization & CUDA
- 🏗️ Distributed Systems & Scalable Infrastructure
- 🔍 LLM Evaluation & Observability
💬 Always happy to connect, collaborate, or discuss software engineering, cloud architecture, AI/ML, and high-performance computing.