Professional Journey 

  • Software Developer  @ MPOnline Limited

  • 📂 MPBSE (Madhya Pradesh Board of Secondary Education) Project
    01/2026 - Current | Bhopal
    • Developed and maintained application modules for Classes 9th–12th, including Main Form, Late Fee Form, and Edit Application Form.
    • Contributed to the Result Module, ensuring accurate data processing and seamless result display.
    • Implemented AI-based face validation to verify student photo uploads and prevent incorrect or mismatched images.
    • Developed AI-driven document validation to detect blank, blurred, or unreadable images/PDFs, improving data quality.
    • Applied validation checks to ensure uploaded documents meet clarity and readability standards.
    • Designed and optimized SQL queries and stored procedures for efficient data handling.
    • Technologies: ASP.NET (C#), MVC, SQL Server, JavaScript, Python, n8n, LLM APIs.
  • 📂 OSMS (Online School Management System) Project
    01/2026 - Current | Bhopal
    • Designed and implemented an end-to-end AI pipeline to extract structured data from handwritten school registers using OCR and image processing.
    • Utilized EasyOCR/Tesseract for handwritten text recognition and applied preprocessing techniques (noise removal, image enhancement) to improve extraction accuracy.
    • Built a data post-processing module to map unstructured OCR output into structured tabular format aligned with original register columns.
    • Developed a scalable backend system to store extracted data into SQL Server with validation and error handling mechanisms.
    • Created an interactive UI to visualize extracted data in grid format and implemented Excel export functionality for reporting and analysis.
    • Reduced manual data entry effort by automating digitization of handwritten records and improved operational efficiency.
  • 📂 WCDR (Women and Child Development) Project
    11/2024 - Current | Bhopal
    • Developed and maintained core modules including Application Form, Edit Application, Document Verification, and Objection Management.
    • Implemented vacancy collection system across multiple administrative levels (State, District, Block, CDPO, DPO).
    • Contributed to Pre-Provisional and Final Merit List generation for Worker and Helper posts.
    • Designed and deployed an AI-powered chatbot using n8n workflows and LLM APIs integrated with the Chayan Portal.
    • Worked on AI-driven automation workflows to streamline repetitive processes and reduce manual effort.
    • Performed data validation, bug fixing, and performance optimization to ensure stable system functionality.
    • Technologies: ASP.NET MVC, C#, SQL Server, Python, n8n, LLM APIs.
  • 📂 MPPSC (Madhya Pradesh Public Service Commission) Project
    07/2023 - 11/2024 | Bhopal
    • Designed Power BI dashboards to visualize application trends, objection resolution rates, and refund analytics, improving decision-making by 20%.
    • Developed and optimized SQL queries to process 100,000+ candidate records for workflows, results, and refunds.
    • Worked on Application, Edit, and Court Case modules, implementing dynamic business logic based on government rules.
    • Automated admit card and call letter generation using ASP.NET MVC and SQL Server, improving operational efficiency.
    • Built an AI-powered system to extract and process data from handwritten registers and 40-60 page rulebooks using OCR and LLMs.
    • Designed an end-to-end pipeline to convert unstructured handwritten/PDF data into structured format for form generation.
    • Conducted security audits implementing DoS protection, CAPTCHA, and input validation for large-scale systems.
  • Intern  @ ART technology

    03/2023 - 05/2023 | Bhopal
    • Worked extensively with SQL Server (SSMS, SSIS) to design, optimize, and maintain dynamic SQL scripts and queries.
    • Developed custom reports and dashboards using Power BI and SSRS for data visualization.
    • Built web scraping scripts using Python to extract data from various sources supporting decision-making workflows.
    • Leveraged Python for cleaning, transforming, and integrating scraped data into analytical tools.