# MD Salman Shah > MD Salman Shah is a Senior Software Engineer and Team Lead at Flint De Orient Marketing & Technology Pvt. Ltd. in Kolkata, India. He architects and builds web, mobile and AI-powered products, and won the 1st Best Paper Award at ICSC 2025 for research on predicting mental health with machine learning. - Website: https://mdsalmanshah.in/ - Role: Senior Software Engineer & Team Lead at Flint De Orient Marketing & Technology Pvt. Ltd. (Oct 2025 — Present) - Location: Dumdum, Kolkata, India - Email: salman91shah@gmail.com - Phone: +91 97496 81391 - LinkedIn: https://www.linkedin.com/in/mdsalmanshah/ - GitHub: https://github.com/mdsalmanshah - CV: https://mdsalmanshah.in/Md_Salman_Shah_Resume.pdf Note: "MD" is part of his name, not a medical degree. ## Experience **Flint De Orient Marketing & Technology Pvt. Ltd.**, Kolkata, India - Senior Software Engineer & Team Lead — Oct 2025 — Present - Software Developer — Aug 2025 — Oct 2025 I lead the development of scalable web, mobile and AI-powered applications — owning system architecture, full-stack development and technical planning, and mentoring the engineers who ship them to production. - Architect and build CRM, HRM, ERP and SaaS platforms for healthcare, education and business automation. - Lead a cross-functional team: planning sprints, reviewing code and mentoring developers. - Bring AI, machine learning and agentic workflows into products to cut manual work. - Take products from first commit to cloud deployment, with an eye on security and scale. ## Products ### FlintBox AI — AI-powered CRM & business automation platform Role: Lead Software Engineer · System Architecture · Product Development FlintBox AI helps businesses discover, manage, talk to and convert leads from every channel through one intelligent system. It brings lead discovery, CRM, AI-powered conversations, automated follow-ups, workflow automation and analytics into a single ecosystem. - Designed the overall software architecture and technical structure of the platform. - Planned the end-to-end product workflow, from lead discovery to conversion. - Integrated AI-powered communication and automated response workflows. - Designed multi-channel communication across WhatsApp, Facebook, Instagram, Website and Email. - Built conversation-history architecture so AI replies can draw on relevant past interactions. - Designed and implemented backend services and the API architecture. - Architected the CRM for leads, contacts, conversations and business data. - Integrated workflow automation using n8n. - Designed MongoDB data structures for scalable business and conversation data. - Implemented authentication, user, business, lead and automation management on the backend. - Handled deployment, server configuration, process management and production infrastructure. - Planned the system for scalability, maintainability, reliability and future AI capabilities. Technology: Node.js, Express.js, MongoDB, React.js, TypeScript, Vite, Tailwind CSS, AI / LLM APIs, n8n, REST APIs, Apache, Linux, PM2 ### Ledgerit — AI-powered bank statement processing & Tally conversion Role: Lead Developer · Software Architecture · Backend · AI Integration Ledgerit turns bank statements — PDF and other formats — into structured accounting data and Tally-compatible XML, cutting the manual data entry that businesses and accountants do every month. It processes complex statements, extracts every transaction, normalises the data and produces clean accounting output. - Designed and developed the core backend architecture. - Built the end-to-end statement processing pipeline. - Extracted structured transaction data from bank-statement PDFs across many formats and layouts. - Integrated AI/ML-based processing for intelligent document and transaction handling. - Automated conversion of extracted transactions into Tally XML. - Worked with PDF table extraction and document-processing technologies. - Designed transaction parsing and normalisation logic. - Designed APIs for file upload, processing, conversion and result generation. - Implemented secure document workflows, with temporary processing and automatic document deletion. - Integrated user authentication and OTP-based verification. - Integrated payments for platform subscriptions and services. - Designed database and file-storage architecture with MongoDB and GridFS. - Handled production deployment and backend infrastructure. - Made the pipeline reliable for large, complex bank statements. Technology: Python, Flask, MongoDB, GridFS, Camelot, Ghostscript, AI / ML, DistilBERT, REST APIs, Razorpay, MSG91, Tally XML ### Medpin — AI-enabled digital healthcare platform Role: Lead Software Engineer · Flutter · System Design · AI Integration Medpin connects doctors and patients by bringing appointments, prescriptions, medicine reminders and health records into one digital ecosystem. Patients manage their information more easily, and doctors get structured access to what is relevant — with the patient in control. - Designed the application architecture and overall technical structure. - Led development of the mobile app in Flutter, with reusable UI components and modules. - Designed AI-assisted workflows that analyse uploaded medical reports and generate structured summaries. - Designed patient-controlled access to health information, with secure doctor-patient communication. - Implemented doctor and patient workflows, appointment booking and scheduling. - Developed digital prescription management. - Implemented medicine reminders. - Designed and developed digital health-record management. - Built report and document upload workflows. - Planned an AI chatbot architecture for preliminary symptom conversations. - Designed how doctors can access relevant patient conversations when appropriate. - Integrated the mobile app with backend services through APIs. - Focused on privacy, secure data handling, authentication and controlled access. - Designed the system with future AI/ML healthcare capabilities in mind. Technology: Flutter, Dart, Android, REST APIs, MongoDB, AI / ML, Gemini APIs ### Mental Health Prediction AI — Machine-learning web app behind my award-winning research Role: Researcher · ML Engineer · Full-stack Developer A Flask web app that runs a trained machine-learning model to predict mental-health conditions and explain the result in plain language — the engineering side of my ICSC 2025 Best Paper. Technology: Python, Flask, Machine learning, JavaScript Code: https://github.com/mdsalmanshah/Mental-Health-Prediction ## Research **1st Best Paper Award — International Conference on Sustainable Computing for Industry (ICSC 2025)** "Advancing Mental Health Prediction with Machine Learning: Methods, Challenges, and Future Directions" A study of how machine-learning models can predict mental-health conditions from behavioural and survey data — comparing methods, surfacing the ethical and data-quality challenges, and mapping where the field should go next. The work is backed by a working Flask application that turns the model into something people can use. - Authors: MD Salman Shah, Sumit Kumar, Ajoy Roy, Arghya Ghosh, Sanchita Das - Mentor: Sudip Samanta, Brainware University - Read the published paper: https://docs.google.com/document/d/1Cdt3-tKKnXj4TTSWjaYXIBmRY4IZbMCC/edit?usp=sharing&ouid=118253199456950858905&rtpof=true&sd=true - Code on GitHub: https://github.com/mdsalmanshah/Mental-Health-Prediction ## Skills - Languages: Python, JavaScript, TypeScript, Dart, Java, PHP, C / C++ - Frontend: React.js, Vite, Tailwind CSS, HTML & CSS, Bootstrap, jQuery - Backend & APIs: Node.js, Express.js, Flask, REST APIs, API design, Authentication & OTP - Mobile: Flutter, Android, Android Studio, Java (Android) - Databases: MongoDB, GridFS, MySQL, Database design - AI & ML: Machine learning, LLM APIs, Gemini API, DistilBERT, Agentic AI, AI automation, Document AI, scikit-learn, Pandas, Jupyter - Data & documents: PDF processing, Camelot, Ghostscript, Data extraction, Tally XML - Automation & integrations: n8n, Workflow automation, Razorpay, MSG91, Multi-channel messaging - DevOps & deployment: Linux, Apache, PM2, Cloud deployment, Netlify, Git & GitHub, VS Code - Architecture: System design, Software architecture, CRM architecture, Scalable software design, Technical planning ## Education - Master of Computer Applications (MCA), Brainware University, Kolkata, 2023 — 2025 — CGPA 9.01 - Bachelor of Computer Applications (BCA), The University of Burdwan, 2018 — 2021 — 78.89% - Higher Secondary (HS), Orgram Chatuspally High Madrasah, 2016 — 2018 — 83.4% ## Certifications - Programming in C - Programming in Java - Java Certified Programmer - Internship Studio — Common Internship Test ## FAQ ### Who is MD Salman Shah? MD Salman Shah is a Senior Software Engineer and Team Lead at Flint De Orient Marketing & Technology Pvt. Ltd. in Kolkata, India. He architects and builds web, mobile and AI-powered products, and won the 1st Best Paper Award at ICSC 2025 for research on predicting mental health with machine learning. ### Is MD Salman Shah a medical doctor? No. “MD” is part of his name, not a medical degree. MD Salman Shah is a software engineer; his only link to healthcare is through software — the Medpin healthcare platform and his machine-learning research on mental-health prediction. ### What does MD Salman Shah do at Flint De Orient? He leads engineering: system architecture, backend and API design, database design, AI integration, deployment and mentoring the development team. He joined in August 2025 as a Software Developer and became Senior Software Engineer & Team Lead in October 2025. ### Which products has MD Salman Shah built? His main products are FlintBox AI, an AI-powered CRM and business-automation platform; Ledgerit, which converts bank statements into Tally-compatible XML using AI; and Medpin, an AI-enabled digital healthcare platform built in Flutter. He also built a machine-learning web app for mental-health prediction. ### What award has MD Salman Shah won? He received the 1st Best Paper Award at the International Conference on Sustainable Computing for Industry (ICSC 2025) for the paper “Advancing Mental Health Prediction with Machine Learning: Methods, Challenges, and Future Directions”, co-authored with Sumit Kumar, Ajoy Roy, Arghya Ghosh and Sanchita Das and mentored by Sudip Samanta of Brainware University. ### What technologies does MD Salman Shah work with? Node.js, Express, React, TypeScript and MongoDB on the web; Flutter and Dart for mobile; Python and Flask for backends and machine learning; and AI/LLM APIs, Gemini, n8n and agentic workflows for automation. He also handles Linux servers, Apache and PM2 in production. ### Where did MD Salman Shah study? He earned a Master of Computer Applications (MCA) from Brainware University, Kolkata (2023–2025) with a CGPA of 9.01, and a Bachelor of Computer Applications (BCA) from The University of Burdwan (2018–2021). ### How can I contact MD Salman Shah? Email him at salman91shah@gmail.com, call +91 97496 81391, or message him on LinkedIn at linkedin.com/in/mdsalmanshah. He is based in Dumdum, Kolkata, India, and is open to conversations about products, AI and research collaborations. --- Last updated: 2026-10-02