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Ask ten teams why their AI pilot never reached production and nine will blame the model. It is almost never the model. It is that nobody wrote the tests. I have spent the last four years running engineering and delivery for an enterprise AI platform carrying roughly 3 million live conversations a month for Tier 1 telecom and banking tenants, inside ISO 27001, GDPR, BNM RMiT and PCI-aware controls. What keeps that platform standing is not clever prompting. It is a golden set, a regression suite, factuality scoring and red team prompts running in CI on every single change, so that a one word prompt edit cannot quietly start handing thousands of customers the wrong billing answer overnight. Models are a commodity you rent by the token. Your evaluation harness is the only part you actually own. That is the discipline I bring, and it is the reason my systems are still running. HOW I WORK Evaluation before generation. Before I touch your prompts I want to know how you would detect a regression. If the honest answer is "the client complains", we build the harness first. That takes days, not weeks, and it pays for itself the first time it catches something on a Friday afternoon. Agents are distributed systems. Tool contracts, timeouts, retries with backoff, idempotency, dead letter queues, human-in-the-loop checkpoints. An agent calling three APIs is a distributed system wearing a chat window, and it fails like one. I have been on the wrong end of enough incident reviews to design for that up front. Retrieval is usually the real bug. Most hallucination problems I get called into turn out to be retrieval problems. Hybrid search (BM25 plus vector), structured knowledge, policy-aware routing, and grounding you can point an auditor at. If I cannot debug it at 3am, it does not ship. Structured logs, metrics and traces across every model call and tool invocation, with cost per inference sitting right next to latency so nobody is surprised by the bill. WHAT I BUILD Agentic systems: multi-agent workflows, tool-use loops, MCP integrations, multi-LLM routing with fallback. Production RAG: hybrid retrieval, pgvector or Milvus, strict grounding, deterministic eval gates in CI. On-prem and sovereign LLM deployment: Kubernetes on your own metal or private cloud, region pinning, per-tenant encryption, full audit trails. The plumbing underneath: Python and FastAPI services, event-driven orchestration on RabbitMQ and Redis Streams, PostgreSQL, ClickHouse, Go where latency matters. WHAT I HAVE ACTUALLY SHIPPED Multi-tenant agentic CX platform at roughly 3M conversations a month, 99.9% uptime, across webchat, social, email, voice and video in 95+ languages. OCR and LLM pipeline for regulated financial documents holding about 99.7% extraction integrity, which turned days of manual analysis into minutes and survived court-grade scrutiny. Monolith to microservices migration with staged cutovers and zero downtime for live production tenants. An MCP-native skills platform I built and still operate on my own: 231+ installable expert skills and a 9,000+ server registry. An engineering team taken from 4 people to 18, with 6 engineers promoted into tech lead roles. WHO GETS THE MOST OUT OF ME You have a pilot that behaves beautifully in a notebook and falls apart in front of real users. Or you are in financial services, telecom or healthcare and legal will not let customer data leave your infrastructure, so it has to run on your own hardware. Or you have agents in production right now that are expensive and unpredictable and nobody can tell you why. I am the wrong hire for a weekend chatbot or a Zapier flow. Good people do that work for a third of my rate and you should let them. HOW WE START AI Architecture and Evaluation Audit, fixed $1,200. I review your agent design, retrieval setup and eval coverage, then hand you a written assessment, a prioritised fix list, and a working test harness that stays yours whether or not you hire me again. 5 to 7 days. Agentic Workflow PoC, fixed from $2,800. One real workflow built with production patterns, running in your environment. Production RAG Build, fixed from $6,500. Ongoing architecture and delivery, hourly, 20 to 30 hours a week. One last thing, because it saves us both time. If AI is the wrong tool for your problem I will say so in the first call, before you have spent anything finding out. I would rather lose the contract and be the person you call back in six months. Send me what is breaking, and how you currently know it is broken. If the second half of that sentence is hard to answer, that is exactly where we start.

I am a dedicated AI specialist and researcher, passionate about advancing the fields of machine learning, cybersecurity, and blockchain technologies. Currently pursuing a Ph.D. in Computer Science at the University of Louisiana at Lafayette, my research focuses on developing innovative solutions using large language models (LLMs) and deep learning. Highlights of My Work: -LLM Expertise: Actively working on training and fine-tuning diverse large language models, creating robust datasets, and pushing the boundaries of AI capabilities. -Novel CAPTCHA System: Designed a cutting-edge thermal-based CAPTCHA solution, training YOLO models to achieve an impressive 96.70% accuracy rate. Proposed a deployment-ready protocol compatible with existing network architectures, emphasizing usability and security. -Cybersecurity Research: Investigating solutions to bolster cybersecurity in cyber-physical systems, with a particular focus on secure protocols and AI-driven defenses against evolving threats. -Publications and Innovations: Authored impactful research on blockchain applications and fake news detection, presenting at international conferences. Core Skills: -Deep Learning Model Development -Dataset Design and Optimization for AI/ML -Cyber-Physical Systems Security Analysis -Programming in Python, C++, and Solidity By blending technical expertise with a focus on practical applications, I aim to contribute transformative solutions in AI and cybersecurity.

With a strong background in machine learning, computer vision, and natural language processing, I have consistently delivered real-world AI solutions across diverse industries. My professional journey spans multiple roles where I have developed and deployed intelligent systems for image and language understanding, focusing on accuracy, performance, and scalability. Currently working as a freelancer, I have built intelligent data extraction pipelines for financial applications by combining advanced computer vision and NLP methods to extract information from bank cheques with high precision. Additionally, I worked on a complex chatbot project addressing the limitations of large language models (LLMs), such as context window constraints. I implemented optimization strategies like history truncation, prompt summarization, and prompt caching, which significantly improved coherence, processing speed, and memory efficiency in generated responses. As a Data Science Fellow at Fellowship.AI, I developed a robust evaluation pipeline to measure confidence levels in LLM outputs using datasets like LiveBench and MMLU. I applied strong evaluation metrics such as Expected Calibration Error (ECE) and BERTScore and utilized stronger LLMs for benchmarking, providing valuable insights into model calibration and reliability. Previously, as a Computer Vision Engineer at Hello Llama, I played a pivotal role in building IoT-enabled safety solutions. I developed end-to-end ML pipelines and Android applications integrating BLE and real-time video streaming, designed to work with radar warnings and dashcam systems. My work focused on real-time object detection of urban infrastructure and safety violations, deploying models on NVIDIA Jetson Nano for low-latency, edge-based inference. I also created a custom helmet detection system with facial focus and chin-strap detection and used sensor mat data to recognize multiple riders on scooters. My responsibilities included complete development cycles—from data collection to annotation, model training, validation on unseen data, and deployment—with comprehensive testing to ensure robustness in production environments. Earlier in my career as a Machine Learning Engineer at Expert Consortium Ltd., I worked on automatic face recognition and liveness detection systems. I designed pipelines capable of distinguishing live individuals from photographs and automatically created datasets for unknown individuals by organizing webcam feeds, labeling them, and training recognition models using LBP. I also built a driver activity recognition system for behavioral monitoring and an object tracking tool that captured snapshots when specific spatial triggers were activated. I utilized GPU acceleration and RabbitMQ to ensure high performance and seamless message passing during training and inference. Throughout my experience, I have demonstrated a unique ability to bridge the gap between computer vision and natural language processing. I have built robust pipelines, optimized LLM performance, engineered edge-deployable vision systems, and created intelligent, real-time applications in safety, finance, and mobility. My strengths lie in developing production-ready ML systems, optimizing performance in resource-constrained environments, and delivering intelligent solutions that scale effectively and meet real-world demands. I have direct Experience working on following topics: C++ Python Scikit-learn Tensorflow Keras OpenCv Embedded device Aws Azure Flutter

⚡𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗻𝗼𝘄🟢 I’m a Full-Stack Developer specializing in building 𝗦𝗮𝗮𝗦 𝗠𝗩𝗣𝘀, 𝗰𝘂𝘀𝘁𝗼𝗺 𝘄𝗲𝗯 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 and 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀. Let me engineer your software and I'll build it so it works for you 𝟮𝟰/𝟳. 𝗧𝗵𝗮𝘁'𝘀 𝗺𝘆 𝗽𝗿𝗼𝗺𝗶𝘀𝗲. 𝗦𝗵𝗼𝗼𝘁 𝗺𝗲 𝗮𝗻 𝗶𝗻𝘃𝗶𝘁𝗮𝘁𝗶𝗼𝗻 or 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 and I'll send you a Loom video on exactly how I'd solve your problem. 𝗔 𝗹𝗶𝘁𝘁𝗹𝗲 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲: I’m a Product-oriented Full Stack Developer specializing in React, Next.js, Node.js and React Native. I help startups and businesses build scalable SaaS, custom web applications and AI-powered web applications from scratch. • Full portfolio and case studies: 𝗺𝗮𝘀𝗵𝗳𝗶𝗾-𝗿𝗮𝘆𝗵𝗮𝗻-𝗼𝘃𝗶.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 𝗟𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻 𝘁𝗿𝘆 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄: • TrackPulse : AI-Powered Audio Intelligence for audio classification and moderation. 𝘁𝗿𝗮𝗰𝗸𝗽𝘂𝗹𝘀𝗲-𝗮𝗶.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 • InfoSysCS: AI-Powered Qualitative Data Analysis Assistant for research workflows. 𝗶𝗻𝗳𝗼𝘀𝘆𝘀-𝗰𝘀.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 • Flex Engineers: A Software Studio’s Mission Control, rendered with HUD/3D visuals. 𝗳𝗹𝗲𝘅-𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 • MediaKing: Media management and streaming-oriented web platform for MediaKing. 𝗺𝗲𝗱𝗶𝗮𝗸𝗶𝗻𝗴-𝗹𝗹𝗰.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 • ApexDV: Modern web application built with Next.js for ApexDV company. 𝗮𝗽𝗲𝘅-𝗱𝘃.𝘃𝗲𝗿𝗰𝗲𝗹.𝗮𝗽𝗽 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗯𝗲𝘀𝘁: → AI-powered web apps — OpenAI API integration, LLM workflows, AI coding agent pipelines → SaaS MVPs — multi-tenant architecture, auth, billing, admin dashboards, built founder-to-launch → Web + mobile — React Native apps alongside web, when a product needs both → Full ownership — I handle frontend, backend, and deployment; no handoffs, no gaps 𝗣𝗿𝗶𝗺𝗮𝗿𝘆 𝗦𝘁𝗮𝗰𝗸: Node.js · Express.js · React.js · Next.js · React Native · javaScript · TypeScript · PostgreSQL· MySQL · MongoDB · Git · Docker 𝗣𝗿𝗼𝗼𝗳 𝗼𝗳 𝘄𝗼𝗿𝗸: → TrackPulse: 5x faster batch processing, 8 hours → 90 minutes, $220/month in infra saved. → InfoSysCS: 5 days → 18 minutes per report, 6x researcher throughput. → Flex Engineers: 4x faster lead response, 35% lift in form conversion. → MediaKing: launch time cut from 6 weeks to 9 days, 38% lift in inquiry conversion. → ApexDV: 60+ qualified leads/month, driving 35% of new client acquisition. → Hotspot Navigator: 50+ daily users, 50%+ ops overhead cut. Everything above is a live, working product — try any of them yourself (AI ones need API). I build AI-integrated web applications, SaaS MVPs and custom web applications for startups — from backend architecture to polished frontend and mobile, shipped fast and built to scale. Clients on past work noted clear communication and solution-oriented problem solving — I flag risks early and explain tradeoffs in plain terms, not jargon. Open to hourly contracts and fixed-price MVP builds. ⚡𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗻𝗼𝘄🟢Message me with what you're building. 📌Services and Expertise: Full-Stack Development | Web Application Development | SaaS MVPs | Startup MVP | MVP Development | AI-Powered Applications | AI-Powered Web Applications | AI App Development | AI Integration | Custom Web Platforms | Software Development | Web Development | Frontend Development | Backend Development | Mobile App Development | App Development | React | Next.js | JavaScript | TypeScript | Node.js | Express.js | React Native | Python | MERN | HTML5 | CSS 3 | Tailwind CSS | Figma to React | Responsive Design | PostgreSQL | MongoDB | MySQL | Supabase | Firebase | Redis | Database Architecture | REST API | API Integration | OpenAI API | Claude | Stripe | Payment Gateway Integration | Payment Integration | User Authentication | Authentication & Authorization Systems | Multi-Tenant SaaS | CRM Development | Admin Dashboard | Ecommerce Website | Headless CMS | Website Redesign | Docker | Vercel | Scalable | High Performance | SAAS | IOS | Artificial Intelligence

As Chief Software Architect of Byte Engineers, I always try build custom software and SaaS products that drive real business growth. Our team recently built a SaaS platform called StreamZ a multi live streaming platform generating $5K+/mo in recurring revenue. We recently boosted a client's sales by 3x with a website redesign. I am leading a strong team of designers who previously worked with PUBG Mobile, developers who worked at Brain station, and branding experts who worked with BMW Bangladesh. With a background in Computer Engineering (BEng, Daffodil International University, 2016–2020) and years of hands-on industry experience, I help businesses and agencies build scalable, high-quality digital web solutions. At Byte Engineers, we don’t just write code — we build digital products that drive real business growth. From increasing sales by 3x for ecommerce brands to building SaaS platforms generating $5K+ in monthly revenue, my team and I focus on results that matter to you. 💡 Over the years, I’ve successfully delivered projects across industries (Featured Projects): 1. Pure Vanilla Beans – Website redesign & development → boosted client’s sales by 3x 2. Care & Labour Hiring SaaS Platform – Built from scratch → now generating $5,000+ per month recurring revenue 3. Bunya Care System Software – A healthcare SaaS solution improving patient & staff management 4. E-learning Platforms – Used in Ghana → transformed the education system and empowered thousands of students 5. AI-driven App Rescue – Delivered in 1 month after a $10K agency failed → saved client’s business ⭐️ Client Testimonials: ⭐️⭐️⭐️⭐️⭐️ "An exceptional team with outstanding results. I highly recommend them!" – Dan Ekan (Australia) "Azam built our AI-driven app from scratch in just a month after a $10k agency let us down!" – Contreece R. Bullard 🧰 Tech Stack: Frontend: React, Vue, Next.js, Svelte, Tailwind Backend: Node.js, Python (FastAPI, Django, Flask), PHP, Go CMS: WordPress, Shopify, Webflow, Framer Design: Figma, Adobe XD, Illustrator, Photoshop If your agency needs an engineering partner that protects your client relationships and delivers like your name is on the line — let's talk. I'd love to chat! I’m all set for a 10-minute "brain dump" consultation to help you get organized or spark some new ideas. Best regards, S. M. Tofail Azam Shawon 🔍 Find Me With These Keywords: SaaS Development, Custom Software Solutions, Website Design, Branding & Identity Design, E-learning Platforms, Healthcare SaaS, Business Automation, MVP Development, B2B SaaS, AI SaaS, Scalable Architecture, Long-Term Software Partner

Hi This is Mithun, I'm an AI Engineer and AI Agent Developer specializing in AI agents, LLM applications, RAG systems, LangChain, Python, and AI-powered SaaS products. I build production-ready AI solutions that automate workflows and solve real business problems. I help startups, SaaS companies, and growing businesses design and build intelligent AI systems from AI agents and RAG applications to AI chatbots, workflow automation, and full-stack AI products. I create and implement AI agents, AI integration, chatbots, automation systems, AI SaaS solutions, custom web applications, AI-powered MVPs, AI healthcare solutions, AI writing tools, GPT clone, full stack application, multi-tenant and unique AI solutions in production. Before writing a single line of code, I design a full-fledged AI strategy for your company, so you will have a clear understanding of what to build, how much it will cost, and what to exclude. Most mistakes related to AI budgets are related to development of the wrong things first. Primary Expertise: * AI Agent Development * AI Automation * LLM Application Development * RAG Systems * AI Chatbot Development * Generative AI * Multi-Agent Systems * AI SaaS Development * OpenAI API Integration * LangChain Development * Python AI Development * Full-Stack AI Applications Supporting Expertise: * React.js * Next.js * TypeScript * Node.js * Express.js * REST APIs * WebSockets * SaaS Architecture * Multi-Tenant Applications Technical Stack: AI & LLM Development: Python | AI Agents | LLMs | Generative AI | OpenAI API | LangChain | LlamaIndex | RAG | Multi-Agent Systems | Prompt Engineering | NLP | AI Chatbots Backend Development: Python | Node.js | Express.js | REST APIs | GraphQL | WebSockets | JWT Authentication | API Integration Frontend Development: React.js | Next.js | TypeScript | Tailwind CSS | Redux | Context API SaaS & Application Development: AI SaaS | Multi-Tenant SaaS | SaaS Architecture | RBAC | Subscription Systems | Billing Integration | Admin Dashboards WHAT I'VE SHIPPED IN PRODUCTION: 1. AI Interview: AI Hiring Assistant SaaS Platform with Automated Interviews & Smart Candidate Screening * AI-powered automated interviews 24/7 * Reduces hiring time by almost half * SaaS dashboard * Features: Interview recording, playback, bias-free screening, parallel processing AI Hiring Platform | AI SaaS | Automated Interviews | Candidate Screening | AI Evaluation | Recruitment Automation 2. Multi-Agent Autonomous SEO Publishing Engine * 6 Synchronized AI Agents working autonomously * Automated daily SEO publishing * Fact-checking AI built-in * 23 schema types, 30+ language support AI Agents | Multi-Agent Systems | AI Automation | Autonomous Agents | Generative AI 3. Chat SEO: SaaS SEO Chat Platform with Google Search Console Intelligence System * AI-powered SEO chat interface * Replaced 5 SEO subscriptions with one tool * Full SaaS with billing, team management, affiliate tracking * Live GSC integration, competitor analysis, crawl error detection Generative AI | SEO Automation | AI Agents | Google Search Console | SaaS 4. Appointment AI Automation Platform with Social DM Lead Qualification * AI lead qualification from Instagram DMs * Converted DMs into sales calls * Full SaaS platform (plans, billing, affiliate tracking) * Multi-channel routing, ROI calculator RAG | AI Chatbot | Knowledge Base | LangChain | LLM | OpenAI API Send me your requirements, existing architecture, or product idea. I'll outline the recommended architecture, AI approach, and development roadmap before we start.