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Priyanshu-792/ReadMe.md

πŸ‘‹ Hi, I’m Priyanshu Sharma

πŸ’» Software Engineer 1 | Full-Stack + AI Engineer (.NET + React + Angular + GenAI)
πŸš€ Building scalable enterprise platforms & intelligent AI-driven systems


πŸ’« About Me

πŸ”­ Currently working as Software Engineer 1 @ Softway
🌱 Focused on Full-Stack Development + Generative AI + Agentic Systems
πŸ’¬ Ask me about C#, .NET, React, Angular, LLMs, RAG, APIs, SQL, DSA
πŸ“« Reach me at priyanshusharma72002@gmail.com
⚑ Fun fact: I build systems that think… and still debug them like a human πŸ˜„


🧠 Professional Summary

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.


🏒 Experience

Software Engineer 1 β€” Softway

πŸ“ Jul 2024 – 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

Software Developer Intern β€” Promact Infotech

πŸ“ Jan 2024 – Apr 2024

  • Developed REST APIs using .NET Core
  • Built Angular dashboards with PostgreSQL
  • Implemented RBAC, workflows, and automation systems

πŸš€ Key Projects

πŸ”Ή ShipMind β€” Offline AI for Marine Diagnostics

  • Fine-tuned Qwen 2.5 3B using QLoRA + PyTorch
  • Built offline RAG pipeline (LangChain + FAISS)
  • πŸ“ˆ Improved diagnostic response relevance by ~40%
  • Fully offline inference system (no external dependency)

πŸ”Ή DebugLens β€” Multi-Agent Debugging Assistant

  • 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

πŸ”Ή PULSE β€” AI Coaching Platform

  • Real-time voice + chat coaching platform
  • Integrated OpenAI Realtime API
  • Backend with FastAPI + AWS Lambda + S3
  • Generates summaries, follow-ups, and insights

πŸ”Ή Help-Desk Application (ML Powered)

  • Built using React, Vite, Supabase
  • Integrated DistilBERT for zero-shot ticket classification
  • Automated priority assignment & routing

πŸ”Ή Daikin Website Transformation (DWT)

  • Full-stack modules using .NET MVC, SQL Server
  • Integrated Algolia Search & optimized queries
  • πŸš€ Boosted engagement by 30–35%

πŸ’» Tech Stack

🧠 AI / ML

LLMs, SLMs, RAG, LangChain, FAISS, HuggingFace, PyTorch, Google ADK, MCP

πŸ’» Languages

C#, Python, JavaScript, Java, SQL, NoSQL

🎨 Frontend

React, Angular, HTML, CSS, SCSS

βš™οΈ Backend

.NET Core, ASP.NET MVC, Web API, FastAPI, REST, SOAP

πŸ—„οΈ Databases

SQL Server, PostgreSQL, Supabase, MongoDB

☁️ Cloud & DevOps

AWS (S3, EC2, RDS, Lambda, CloudWatch), Azure DevOps, CI/CD, IIS

πŸ› οΈ Tools & Practices

GitHub, Postman, Swagger, Jira, Microservices, Design Patterns, Agile


πŸŽ“ Education

πŸŽ“ B.Tech in Computer Science & Engineering
Budge Budge Institute of Technology (MAKAUT)
πŸ“Š CGPA: 8.98


🌐 Connect With Me

LinkedIn
Instagram


πŸ“Š GitHub Stats




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