π» Software Engineer 1 | Full-Stack + AI Engineer (.NET + React + Angular + GenAI)
π Building scalable enterprise platforms & intelligent AI-driven systems
π Currently working as Software Engineer 1 @ Softway
π± Focused on Full-Stack Development + Generative AI + Agentic Systems
π¬ Ask me about C#, .NET, React, Angular, LLMs, RAG, APIs, SQL, DSA
π« Reach me at priyanshusharma72002@gmail.com
β‘ Fun fact: I build systems that thinkβ¦ and still debug them like a human π
Full-stack developer with 2+ years of experience building enterprise-grade applications using .NET, React, Angular, and modern cloud stacks.
Recently expanded into Generative AI & Agentic AI systems, with hands-on experience in:
- LLM/SLM fine-tuning (QLoRA, PyTorch)
- RAG pipelines (LangChain, FAISS, HuggingFace)
- Agentic workflows (Google ADK, MCP-based context systems)
Experienced in delivering context-aware, production-ready AI solutions along with scalable backend systems across US & Canada markets.
π Jul 2024 β Present
- Building enterprise platforms for Daikin US & Canada
- Developing full-stack solutions using .NET, React, Angular
- Working on AI-powered systems (GenAI, Agentic AI, RAG pipelines)
- Managing CI/CD pipelines, AWS, Azure DevOps, IIS deployments
- Driving performance optimization & architecture decisions
Key Projects:
- ShipMind (Offline AI System)
- DebugLens (Multi-Agent Debugging System)
- PULSE (AI Coaching Platform)
- Daikin Website Transformation (DWT)
- Help-Desk Application
π Jan 2024 β Apr 2024
- Developed REST APIs using .NET Core
- Built Angular dashboards with PostgreSQL
- Implemented RBAC, workflows, and automation systems
- Fine-tuned Qwen 2.5 3B using QLoRA + PyTorch
- Built offline RAG pipeline (LangChain + FAISS)
- π Improved diagnostic response relevance by ~40%
- Fully offline inference system (no external dependency)
- Built multi-agent system using Google ADK
- Implemented MCP (Model Context Protocol) for structured context
- Generated hallucination-resistant debugging reports
- Correlates logs, metrics, and incidents intelligently
- Real-time voice + chat coaching platform
- Integrated OpenAI Realtime API
- Backend with FastAPI + AWS Lambda + S3
- Generates summaries, follow-ups, and insights
- Built using React, Vite, Supabase
- Integrated DistilBERT for zero-shot ticket classification
- Automated priority assignment & routing
- Full-stack modules using .NET MVC, SQL Server
- Integrated Algolia Search & optimized queries
- π Boosted engagement by 30β35%
LLMs, SLMs, RAG, LangChain, FAISS, HuggingFace, PyTorch, Google ADK, MCP
C#, Python, JavaScript, Java, SQL, NoSQL
React, Angular, HTML, CSS, SCSS
.NET Core, ASP.NET MVC, Web API, FastAPI, REST, SOAP
SQL Server, PostgreSQL, Supabase, MongoDB
AWS (S3, EC2, RDS, Lambda, CloudWatch), Azure DevOps, CI/CD, IIS
GitHub, Postman, Swagger, Jira, Microservices, Design Patterns, Agile
π B.Tech in Computer Science & Engineering
Budge Budge Institute of Technology (MAKAUT)
π CGPA: 8.98
