Abhishek Sinha

Full-Stack Developer

Tech Enthusiast who likes to self-host and build/contribute into things. Currently working on AI.

3x Microsoft Certified Professional.

AI-102, AZ-204, AZ-400

About

Full-stack web developer with 3 years of hands-on experience in frontend, backend, DevOps, and cloud development. Proven ability to design and deploy scalable, AI-integrated applications using modern frameworks and cloud platforms. With a background in open source, I've evolved to self-deploying SAAS and PAAS like NextCloud, Portainer, NPM, contributed in covid with vaccine availability bot COWIN Vaccine Availability Telegram Notifier , contributed in DuckDNS AutoIPV6forDuckDNS.

My main focus these days is integrating LLMs with custom data and refining their behavior through prompt engineering.

Experience

  1. Cloud Engineer 2

    Insight | April 2024 - Current

    Designed scalable AI-driven solutions, including RESTful APIs, voice-enabled bots, and automated SQL query generation, leveraging Python, LangChain, Semantic Kernel, and Microsoft Graph API to optimize workflows, enhance user satisfaction, and achieve measurable performance improvements.

  2. Cloud Engineer

    Insight | July 2022 - April 2024

    Got opportunity to show my skills by integrating GenAI to backend that helped in saving time of manual api building. Developed, maintained projects. Learned CI/CD to automate deployments.

  3. Subject Expert (CS)

    Chegg | Remote | College

    Helped students with their problems & questions in Computer Science Subject.

Experience

  1. Eva Assistant

    Tech Stack: Next.js, Semantic Kernel, Kernel Memory, ASP.NET, Cassandra, Redis, SignalR, Azure OpenAI, Docker

    • Developed the frontend using Next.js, Tailwind CSS, NextAuth, and TypeScript.
    • Developed the backend using ASP.NET Web API, Semantic Kernel, Kernel Memory, SignalR messaging service socket, and Apache Cassandra.
    • Migrated database management from ADO.NET to ScyllaDB for enhanced performance and scalability. Used Redis for efficient caching solutions.
    • Developed an open-source dockerized alternative to ChatGPT with Retrieval-Augmented Generation (RAG) capabilities for personalized data interaction. Implemented CI/CD pipelines for streamlined deployment.

  2. NL2SQL - Open Source Contribution

    Tech Stack: Python, Langchain, Microsoft SQL Server, Azure OpenAI

    • Using Langchain and Prompt Engineering connected a large database with LLM model GPT 3.5.
    • A user's natural language query is processed by OpenAI to convert it into SQL Syntax as per the database schema.
    • Improved response satisfaction by adding a retrieval mechanism of the database schema to the tool, which also helped to reduce the response generation time by 80% and increase stability to 98% even when used with a hospital management sample db with millions of records.

  3. Covin Vaccine Notifier

    Tech Stack: Python, Bash Scripting, API Setu APIs

    • Used API Setu publicly available government API to fetch real-time availability of vaccine shots per Indian pin code.
    • Setup Telegram Bot system to pass on data received from the script to various groups using RESTful API.
    • The solution addressed the irregular availability of vaccine slots, helping numerous people secure reservations during the peak demand period.