Subhajit Hait

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Built AI-powered products used by 100+ doctors.
  • Published award-winning research on AI-driven plant disease classification.
  • Led cross-functional teams to deliver high-impact solutions.
Stackforce AI infers this person is a Full-Stack Engineer with expertise in AI and Healthcare solutions.

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Skills

Core Skills

Full-stack DevelopmentMachine LearningReal-time DataLeadershipMicroservicesAi IntegrationApi Development

Other Skills

.NET Core.NET Framework3rd Party IntegrationsASP.NETASP.NET CoreASP.NET MVCASP.NET Web APIAWS LambdaAdaptive DesignAgile MethodologiesAlgorithmsAmazon Web Services (AWS)Analytical SkillsAndroid DevelopmentAzure API Management

About

I’m a Full-Stack & AI Engineer with 2+ years of experience building and scaling real-time, AI-powered products across healthcare, SaaS, and automation domains. At Avinya NeuroTech, I built a Next.js + FastAPI system handling 100k+ data points/min with sub-50 ms latency, used by 100+ doctors. I also developed React Native BLE and PyQt apps, deployed microservices on Azure Kubernetes (AKS), and integrated Prometheus–Grafana–Loki for observability. At Lumio AI, I engineered LLM-based SaaS platforms used by thousands, featuring RAG chatbots, voice assistants, and automation pipelines using LangChain, LangGraph, and MCP, with deployments across AWS & Azure. My core stack includes React, Next.js, FastAPI, Node.js, Docker, Kubernetes, PostgreSQL, DynamoDB, and Azure AI. I’ve also integrated Stripe, Google OAuth, and CI/CD pipelines for production systems. Published and awarded Best Paper (Springer ICIDA-2024) for research on AI-driven plant disease classification using computer vision (98% accuracy). I love designing systems that are scalable, low-latency, and impactful - blending full-stack engineering with modern AI. Always open to building and learning at the intersection of software, data, and intelligence.

Experience

1 yr 9 mos
Total Experience
7 mos
Average Tenure
11 mos
Current Experience

Avinya neurotech

2 roles

Software Engineer

Jul 2025Present · 11 mos

  • Led the software engineering team, driving architecture decisions, sprint planning, and full-stack delivery across web, backend, desktop, and AI systems.
  • Scaled the real-time biosignal processing platform to handle 100k+ datapoints/min with 20–50 ms latency, used daily by 100+ doctors for clinical workflows.
  • Deployed distributed backend services on Kubernetes, with full observability via Prometheus, Grafana, and Loki for metrics, tracing, and logging.
  • Built a production-grade PyQt desktop application for device integration, annotation workflows, internal tooling, and clinician-facing review systems.
  • Integrated Web Serial and Web Bluetooth APIs into the software stack for real-time device monitoring, configuration, and data streaming directly from hardware.
  • Worked closely with the AI/ML team to integrate Core ML pipelines, optimize inference latency, and build automated evaluation and dataset workflows.
  • Designed and shipped agentic AI chatbots and agentic automation pipelines for clinical decision support, context retrieval, and workflow assistance.
  • Enhanced backend ingestion & storage systems using Redis, PostgreSQL, TimescaleDB, and DynamoDB, supporting high-throughput medical data pipelines.
  • Developed internal automation scripts, batch processors, annotation validation workflows, and model evaluation services.
FastAPINext.jsPostgreSQLAzure Kubernetes Service (AKS)Docker SwarmGrafana+12

Full Stack Developer Intern

Jul 2024Jun 2025 · 11 mos

  • Built a high-performance medical data platform using Next.js + TypeScript, enabling real-time visualization of streaming biosignal metrics.
  • Processed 100k+ datapoints/min using FastAPI + WebSockets, optimizing UI updates for <50 ms latency.
  • Developed BLE-enabled React Native and web applications for real-time hardware data capture and monitoring.
  • Integrated AI-generated EEG annotations into backend data flows in collaboration with hardware and ML teams.
  • Designed data processing pipelines using TimescaleDB + DynamoDB, increasing ingestion and transformation throughput.
  • Automated annotation workflows using Redis and cron-based jobs.
  • Experimented with gRPC for scalable inter-service communication.
Bluetooth Low EnergyWebSocketFull-Stack DevelopmentReal-time DataPython (Programming Language)Amazon Web Services (AWS)+7

Cognizant

QA Automation Engineer Intern

May 2025Sep 2025 · 4 mos · Remote · Remote

  • Worked as part of a 6-member QA automation team, leading test planning, tracking tasks in Jira, and coordinating daily stand-ups and sprint ceremonies.
  • Built a full end-to-end automation framework (Hybrid: POM + TestNG + Data-Driven) for UI + API testing, improving test coverage and reducing manual effort.
  • Automated complete website UI workflows using Selenium WebDriver, including login, forms, alerts, dynamic elements, tables, frames, windows, and validation scenarios.
  • Developed API automation using Postman & REST Assured: GET/POST/PUT/DELETE, response validations, JSON schema checks, and chained API workflows.
  • Wrote scalable automation scripts in Java, using OOP concepts, Collections, Exception Handling, and utility classes for reusable logic.
  • Performed functional, sanity, regression, and cross-browser testing using Selenium Grid and Dockerized Selenium containers.
  • Used TestNG for test suites, DataProviders, parallel execution, assertions, retry logic, and XML-based suite management.
  • Implemented data-driven testing with Apache POI for reading/writing Excel-based test data.
  • Integrated automation suite into Jenkins for CI/CD, scheduling, and automatic execution with report generation.
  • Developed Postman test scripts for API collections with automated status/response validations and environment variables.
  • Collaborated closely with developers to log, track, and retest defects using the Jira Bug Life Cycle.
  • Delivered detailed Extent/Allure reports, logging, and dashboard insights for test execution summary and defect distribution.

Lumio

Software Engineer

Jan 2025Jun 2025 · 5 mos · Remote · Remote

  • Delivered multiple AI SaaS platforms end-to-end, including custom RAG chatbots, voice assistants, agentic workflows, and intelligent automation systems built using LLMs, embeddings, and retrieval pipelines.
  • Engineered dynamic crawling frameworks (Selenium, Crawlee) to extract multi-source data, generate analytics reports, and feed training pipelines for enterprise AI systems.
  • Developed AI pipelines for CAD model analysis, generating structured reports on part condition, manufacturing quality, tolerance issues, and build consistency.
  • Integrated ROS (Robot Operating System) with modern frontends, building a Three.js-powered robot control interface that enabled real-time workshop automation from Next.js and React Native apps.
  • Built document intelligence workflows using OCR, NLP, and extraction models, including contract parsing, shipping discount computation, and automated business-report generation.
  • Designed advanced customer-support AI systems:
  • Context-aware RAG chatbots that flag recurring issues, search historical data, and escalate automatically.
  • Real-time voice AI agents for customer support, call routing, and automated summaries.
  • Built full-stack platforms using Next.js, TypeScript, ShadCN, FastAPI, Node.js, Python, integrating APIs for NLP, storage, analytics, payments, and authentication.
  • Developed secure admin portals with user management, monitoring dashboards, and workflow controls using PostgreSQL, Redis, Firebase, and AWS S3.
  • Automated complex document + voice pipelines, significantly reducing manual effort and improving accuracy across client operations.
  • Led a cross-functional team of 4 (frontend, backend, design, AI) to deliver multiple high-impact client solutions under aggressive timelines.
LeadershipWebSocketFull-Stack DevelopmentReal-time DataSASSPython (Programming Language)+9

Aecho

Software Engineer

Apr 2024Apr 2025 · 1 yr · Remote · Remote

  • Architected and deployed Node.js & FastAPI microservices powering voice-AI, survey, and HR-tech workflows across AWS, GCP, and Azure.
  • Built advanced audio-processing systems for compression, translation, voice analysis, and multi-browser format handling.
  • Developed full-stack frontends using React (TS), Astro (JS), Tailwind, shadcn/ui, including fully custom UI components.
  • Created a Google Forms–style psychological survey platform with voice/audio/video inputs, used by 100+ users weekly for assessments and research.
  • Built the first version of a real-time AI recruiting platform (admin + recruiter + candidate) combining:
  • RAG-driven candidate validation,
  • Voice-analysis feedback,
  • Speech-to-text + text-to-speech,
  • Anti-malpractice detection.
  • Used by 1,000+ candidates every week.
  • Implemented Selenium crawlers, LinkedIn API automation, and dynamic email outreach pipelines for data enrichment.
  • Deployed microservices via Docker Compose + Nginx, ensuring reliable cross-service communication.
  • Migrated infrastructure AWS → Azure (DynamoDB, Lambda, EKS, S3, PostgreSQL; Docker VMs & vector embeddings; Azure containers & App Insights).
  • Built, trained, and productionized AI models for drunk-audio detection and Parkinson’s prediction from voice, with continuous improvement loops.
  • Collaborated with psychiatrists to design voice-analysis algorithms and automate mental wellness scoring.
  • Built an admin dashboard with custom auth, credit systems, Stripe auto-renewal, and analytics via Google Analytics & Azure App Insights.
  • Led a cross-functional team of 4 (backend, frontend, ML), delivering integrated, high-performance systems under tight deadlines.
  • Improved backend latency by 60% using DynamoDB caching and optimized data flows.
React.jsTypeScriptMicroservicesFastAPIPython (Programming Language)Docker Swarm+5

Revmaxx

Software Developer

Feb 2024Jul 2024 · 5 mos · Kolkata, West Bengal, India · Hybrid

  • Built a Next.js medical scribe platform and a full-featured admin portal, powering workflows for 1,000+ clinicians across transcription, note generation, and clinical documentation.
  • Integrated advanced AI systems using Whisper, Deepgram, and Together AI for real-time transcription, translation, summarization, and multi-language support.
  • Developed scalable backend services with Node.js, Express, and MariaDB, optimizing query patterns and API flows to significantly reduce response times.
  • Engineered Selenium-based crawlers to collect structured data for AI pipelines, automated workflows, and knowledge enrichment.
  • Built secure and reliable full-stack systems with Google OAuth, Context API, and integrated payment flows using Stripe and PayPal.
  • Designed analytics, tracking, and performance insights using Google Tag Manager (GTM) and custom dashboard components.
  • Integrated AI models into production workflows, enabling automated note creation, voice processing, and real-time transcription improvements.
  • Led a cross-functional team of 3 engineers (frontend + backend), delivering features end-to-end while collaborating closely with the DevOps team for AWS deployments and Jenkins-based CI/CD.
  • Ensured cross-browser compatibility, developed standalone modules, and improved UI/UX using Material UI and MUI Charts.
Prompt EngineeringReact.jsUnix3rd Party IntegrationsMariaDBServer Side+37

Stealth startup

Full Stack Engineer

Mar 2023Mar 2024 · 1 yr · Remote

  • Spearheaded React and TypeScript website development with Azure Cosmos DB, achieving 30% faster data retrieval and a 20% reduction in server response time. Implemented secure role-based authentication.
  • Engineered a C# API in .NET Core, optimising Azure Cosmos DB operations for a 25% boost. Managed seamless communication using Azure Signalr service, reducing data processing latency by 15%.
  • Orchestrated Agile and GitHub collaboration improving team productivity by 15%. Implemented Azure CI/CD pipelines, resulting in efficient deployment and a substantial 30% reduction in release cycles.
Object-Oriented Programming (OOP)ASP.NET Web APIReact.js3rd Party Integrations.NET FrameworkDocker Products+36

Cs for all

Lead Software Engineer

Sep 2022Feb 2023 · 5 mos · Kolkata, West Bengal, India

  • As a software developer, I weave intricate webs of seamless digital experiences for a sizable user base of over 70,000+ through my work on the CS FOR ALL website. I blend technical expertise in Node.js, React, databases, and various APIs to effortlessly craft and maintain a website that not only performs at peak capacity but also embodies the unique needs of the project.
  • With a keen eye for detail, I conduct thorough testing and consistently update previous tasks to exceed expectations, as evidenced by positive reviews. My proficiency in web development guarantees that the website remains both reliable and user-friendly, creating a memorable experience for all users.

Corum8

Smart Contract Developer

Apr 2022May 2022 · 1 mo · Remote · Remote

  • Worked under the guidance of COO Nishant Kothari to develop and test smart contracts for Corum8 and its associated projects.
  • Contributed to blockchain-based features, ensuring secure contract logic, reliable execution, and adherence to core functional requirements.
  • Gained hands-on experience with decentralized application workflows, contract deployment, and project-specific blockchain integrations.
  • Delivered original, evaluation-approved work that met all technical and functional criteria outlined by the organization.
  • Developed foundational skills in Web3 development, contract architecture, and blockchain best practices.

Education

Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

Bachelor of Technology - BTech — Computer Science

Jul 2021Jul 2025

Heritage Academy High School - India

Secondary & Higher-secondary Education

Jan 2009Aug 2021

Vikramshila Academy

Playground to LKG

Jan 2007Jan 2008

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