Name: Ashish Sharma
Title: AI Full Stack Developer
Focus: Production-Grade AI Systems & Scalable Applications
I'm an AI Full Stack Developer with a passion for building scalable, production-grade applications that solve real-world problems. My expertise spans across AI/ML, cloud architecture, distributed systems, and full-stack development.
I thrive at the intersection of innovation and pragmatism, turning complex requirements into elegant, maintainable solutions. Open to collaborating on groundbreaking AI projects, product engineering, and technical leadership opportunities.
| Languages | Frontend | Backend & Databases | Cloud, DevOps & Tools |
|
|
|
|
| Domain | Proficiency | Details |
|---|---|---|
| Large Language Models | Expert | Fine-tuning, prompt engineering, RAG systems, LLM applications with OpenAI/Anthropic APIs |
| Machine Learning | Advanced | Supervised/unsupervised learning, feature engineering, model optimization, TensorFlow/PyTorch |
| Deep Learning | Advanced | Neural networks, CNNs, RNNs, transformers, NLP, computer vision applications |
| AI Systems | Expert | Production-grade AI pipelines, vector databases, embeddings, inference optimization |
| Data Engineering | Intermediate | ETL pipelines, data processing, analytics, real-time data systems |
🔗 AI Content Generation Platform
Advanced AI-powered content generation system leveraging state-of-the-art language models for multi-format content creation.
| Aspect | Details |
|---|---|
| Stack | Python, FastAPI, PostgreSQL, Redis, React, Docker |
| Scale | 10K+ daily requests, sub-100ms latency |
| Performance | GPU-optimized inference, async job queue |
| Security | JWT auth, rate limiting, data encryption |
| Impact | 5K+ active users, 99.9% uptime |
| Repository | github.com/devxashish/ai-content-gen |
Enterprise-grade content platform processing millions of tokens monthly. Implemented distributed caching, load balancing, and multi-model inference optimization for production reliability.
📊 Real-Time Analytics Dashboard
Full-stack analytics platform with real-time data visualization and predictive insights.
| Aspect | Details |
|---|---|
| Stack | Node.js, React, MongoDB, WebSockets, AWS |
| Scale | 100K+ concurrent users, petabyte-scale analytics |
| Performance | Sub-second data refresh, optimized queries |
| Security | OAuth 2.0, audit logging, compliance |
| Impact | Enterprise clients, 40% performance improvement |
| Repository | github.com/devxashish/analytics-dashboard |
Built scalable real-time analytics backend with WebSocket support. Optimized MongoDB queries and implemented caching strategies resulting in 40% query performance improvement.
🔐 Microservices Architecture Framework
Production-ready microservices framework with containerization, orchestration, and monitoring.
| Aspect | Details |
|---|---|
| Stack | Docker, Kubernetes, AWS ECS, Node.js, PostgreSQL |
| Scale | 50+ microservices, 99.95% availability |
| Performance | Auto-scaling, load balancing, service mesh |
| Security | mTLS, API gateway, secrets management |
| Impact | 60% infrastructure cost reduction |
| Repository | github.com/devxashish/microservices-framework |
Architected and deployed containerized microservices platform with Kubernetes orchestration. Implemented service discovery, health checks, and automated scaling policies.
⚡ High-Performance Data Pipeline
Distributed data processing system for real-time ETL and analytics workloads.
| Aspect | Details |
|---|---|
| Stack | Apache Spark, Python, AWS S3, PostgreSQL, Airflow |
| Scale | 50TB+ data processing daily |
| Performance | Distributed processing, 10x throughput improvement |
| Security | Data encryption, access control, audit trails |
| Impact | Reduced processing time by 70% |
| Repository | github.com/devxashish/data-pipeline |
Engineered distributed data pipeline processing terabytes daily. Implemented incremental processing, data partitioning, and adaptive resource allocation.
Jan 2024 - Present | 7 months
Led end-to-end development of AI-powered SaaS platform processing 10M+ requests monthly. Architected microservices infrastructure, designed database schemas, and optimized system performance.
- Engineered production-grade AI pipelines achieving 99.9% uptime and sub-100ms latency
- Built scalable backend systems handling 50K+ concurrent users with horizontal scaling
- Implemented comprehensive CI/CD pipelines reducing deployment time by 75%
- Mentored 3 junior developers on software engineering best practices
Skills: Python • FastAPI • React • PostgreSQL • Docker • AWS • System Design
Aug 2023 - Dec 2023 | 5 months
Developed full-stack web applications using modern technology stack. Collaborated with product and design teams to deliver user-centric features.
- Built responsive frontend interfaces using React and Tailwind CSS
- Implemented RESTful APIs with Node.js and Express handling 1M+ daily requests
- Optimized database queries improving application performance by 45%
- Deployed applications on AWS with automated scaling and monitoring
Skills: JavaScript • TypeScript • React • Node.js • MongoDB • AWS
May 2023 - Jul 2023 | 3 months
Contributed to cutting-edge AI research on natural language processing and machine learning models.
- Researched and implemented transformer-based models for text classification
- Created data processing pipelines for large-scale training datasets
- Published findings in technical blog with 5K+ views
Skills: Python • PyTorch • TensorFlow • NLP • Deep Learning
| Recognition | Details |
|---|---|
| GitHub Star Developer | 2K+ GitHub stars across open-source projects |
| Top Contributor | Consistent top contributor on GitHub with 1K+ commits |
| FAANG Competitive Programmer | Leetcode: 600+ problems solved, Codeforces Rating: 1900+ |
| AI Champion | Winner of 3 AI hackathons with innovative solutions |
| Technical Blogger | 50K+ monthly blog readers on Medium and Dev.to |
| Open Source Leader | Maintained 15+ open-source projects with 2K+ combined stars |
Learning:
- Advanced LLM Fine-tuning & Quantization
- System Design at Scale (distributed systems)
- Kubernetes & Advanced DevOps
- Web3 & Blockchain Technology
Building:
- Production AI SaaS Platform
- Open-source Machine Learning Framework
- Real-time Data Streaming System
- Developer Tools & CLI Utilities
Exploring:
- Prompt Engineering & LLM Optimization
- Vector Databases & Semantic Search
- Agentic AI Systems
- Cloud Architecture Best Practices
Open To:
- Founding AI Engineer opportunities
- Technical Advisory roles
- Collaboration on innovative projects
- Speaking engagements & tech talks
"Excellence is not a skill, it's an attitude. Keep building, keep learning, keep scaling."