I’m a full-stack web developer specializing in building scalable web applications using React, Next.js, Node.js, and Python (FastAPI/Django). I build fast, clean, and production-ready systems, and integrate APIs, cloud services, and AI features where they add real business value. I’ve helped startups and teams streamline operations by building custom web apps, data pipelines, and automation workflows. Whether it’s integrating APIs, building real-time dashboards, or designing backend systems, I focus on reliability, performance, and clean architecture. Here’s what I do best: -Full-stack Web Development: React, Next.js, Node.js, Python, Django, Flask, FastAPI, Express.js, TypeScript, Tailwind CSS, Bootstrap -LLM Integrations & AI: OpenAI, LangChain, custom GPTs, vector databases (Pinecone, FAISS), RAG pipelines, prompt engineering, chatbot development -Automation & No-Code Tools: n8n, Zapier, Make (Integromat), Airtable, Notion API, Google Apps Script, API orchestration -Data Engineering & APIs: REST, GraphQL, WebSockets, ETL pipelines, web scraping (BeautifulSoup, Scrapy, Selenium), API development & integration -Machine Learning & AI Scripting: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), NLP, data preprocessing, model deployment -DevOps & Cloud: Docker, GitHub Actions, AWS (Lambda, EC2, S3), Google Cloud, Azure, CI/CD pipelines -Databases: PostgreSQL, MySQL, MongoDB, Firebase, Redis, Supabase -Other Expertise: Authentication (JWT, OAuth2), PDF generation, email automation, data visualization (Plotly, Matplotlib), performance optimization I stand out by delivering well-structured, production-grade systems with clear documentation and a strong focus on scalability and maintainability. let’s build something powerful together.

👋 𝙃𝙞, 𝙄 𝙖𝙢 𝘽𝙞𝙧𝙪𝙠 𝙔𝙤𝙨𝙚𝙥𝙝 𝙁𝙪𝙡𝙡-𝙎𝙩𝙖𝙘𝙠 𝘿𝙚𝙫𝙚𝙡𝙤𝙥𝙚𝙧 | 𝘿𝙟𝙖𝙣𝙜𝙤, 𝙁𝙖𝙨𝙩𝘼𝙋𝙄, 𝙉𝙚𝙭𝙩.𝙟𝙨, 𝙐𝙄/𝙐𝙓, 𝙀𝙍𝙋 𝙚𝙭𝙥𝙚𝙧𝙩 I help startups and growing businesses build scalable, high-performance web applications from clean backend APIs to polished, responsive user interfaces. With 4+ years of hands-on experience, I specialize in developing full-stack solutions using Django, FastAPI, React, and Next.js, focusing on clean architecture, maintainable code, and excellent user experience. ⚡ SKILL SETS: 𝙁𝙧𝙤𝙣𝙩-𝙀𝙣𝙙: HTML, CSS, JavaScript React, Next.js, TypeScript Tailwind, Bootstrap, Framer Motion, Shadcn 𝘽𝙖𝙘𝙠-𝙀𝙣𝙙: Django FastAPI Authentication (JWT, OAuth) Database design (PostgreSQL, MySQL, SQLite) 𝘿𝙖𝙩𝙖𝙗𝙖𝙨𝙚𝙨 PostgreSQL MongoDB MySQL Supabase 𝘼𝙄 & 𝘼𝙪𝙩𝙤𝙢𝙖𝙩𝙞𝙤𝙣 AI tool integration API-driven automation Smart feature development 𝘿𝙚𝙫𝙊𝙥𝙨 & 𝘾𝙡𝙤𝙪𝙙 Docker CI/CD pipelines Cloud deployment (AWS, GCP, Vercel) 💻 𝙒𝙝𝙖𝙩 𝙄 𝘿𝙤 - Convert Figma/UI designs into clean, production-ready code - Build responsive, mobile-friendly, and scalable web applications - Develop with modern frameworks: React, Next.js, Vite - Style with Tailwind CSS, Shadcn UI, Material-UI, HTML, CSS - Integrate APIs and AI-driven automation - Optimize performance for speed, accessibility, and smooth user experience - Upgrade and refactor legacy code into modern solutions - Debug, fix issues, and ensure code reliability - Support developers and collaborate on team projects - Build and iterate on MVPs to bring ideas quickly to market 💼 𝙒𝙝𝙮 𝘾𝙡𝙞𝙚𝙣𝙩𝙨 𝙃𝙞𝙧𝙚 𝙈𝙚: Expertise – Skilled in modern frontend frameworks and tools to deliver high-quality solutions Scalability – I build applications designed to grow with your business Clean & Maintainable Code – Easy to update, extend, and hand off to teams Collaboration – Strong team player who can also work independently Clear Communication – Quick response times and regular progress updates Timely Delivery - Reliable execution to meet deadlines without compromising quality Business-Focused – Always aligned with your project goals and end-user needs Detail-Oriented – Pixel-perfect execution with attention to performance and usability If you’re looking for a full-stack developer who can bring your designs to life with precision, speed, and creativity, 📩 Send me a message; let’s collaborate and build something amazing.

Hi, I’m Rizwan. I work as an AI Automation Engineer and LLM Specialist, and I’ve spent more than seven years building AI systems, SaaS platforms, and automation workflows for startups, small businesses, and larger companies. I help businesses save time and cut costs by automating manual tasks. I use tools like n8n, Python, and the latest language models to build reliable systems that make operations more efficient and secure. 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥𝐥𝐲, 𝐈 𝐡𝐚𝐯𝐞 𝐞𝐱𝐭𝐞𝐧𝐬𝐢𝐯𝐞 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐦𝐢𝐝𝐝𝐥𝐞𝐰𝐚𝐫𝐞 𝐭𝐡𝐚𝐭 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐬 𝐄𝐇𝐑𝐬, 𝐥𝐚𝐛 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐚𝐧𝐝 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐭𝐨𝐨𝐥𝐬 𝐮𝐬𝐢𝐧𝐠 𝐇𝐋𝟕 𝐯𝟐 𝐚𝐧𝐝 𝐅𝐇𝐈𝐑 𝐑𝟒. 𝐓𝐡𝐢𝐬 𝐞𝐧𝐬𝐮𝐫𝐞𝐬 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐢𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐜𝐫𝐨𝐬𝐬 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. Also, I’ve built enterprise and SaaS platforms with features like AI agents, RAG pipelines, document processing, and backend automation. I manage projects from the initial idea through launch. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐈 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐲𝐨𝐮: • AI automation using n8n for CRM, email, lead management, and internal tools • Custom LLM solutions using OpenAI, Claude, LangChain, and RAG pipelines • AI agents and chatbots for support, data access, and workflow execution • Document AI for PDF parsing, data extraction, and reporting • Python-based backend systems using FastAPI, Django, and Flask • AI-powered SaaS MVPs with clean APIs and scalable architecture 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐬𝐭𝐚𝐜𝐤 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞 𝐟𝐨𝐫: • AI / LLMs: OpenAI, Claude, LangChain, vector databases (Pinecone, Weaviate, FAISS) • Modernize legacy systems into scalable architectures • Healthcare: HL7 v2, FHIR R4, Mirth Connect (OIE) • Implement healthcare integrations (HL7 v2, FHIR R4, Mirth Connect) • Enable real-time data sync across EHRs, labs, and APIs • Automation: n8n, Zapier, Make, webhooks, third-party API integrations • Backend: Python, FastAPI, Django, Flask, async APIs • Frontend (when needed): React, Next.js, TailwindCSS • Cloud-ready, scalable, and secure deployments • Industries I’ve worked with include fintech, healthcare, real estate, edtech, and B2B SaaS. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 • Fintech & Payments • Healthcare & HealthTech • Logistics & Supply Chain • AI Platforms & Analytics • E-Commerce & SaaS • Enterprise Automation 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐜𝐡𝐨𝐨𝐬𝐞 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: • Proven experience delivering enterprise and SaaS products • Clear communication and solution-focused approach • Fast, reliable delivery without cutting corners • Long-term support and scalable system design If you’re looking for someone to help design, build, or automate AI systems for your business, let’s connect and talk about your project.

You need a product that works — fast, stable, and built to scale. Something users actually want to use, and something your team won’t need to rebuild three months from now. That’s what I deliver. I’m a backend-first full-stack engineer (Python/Django/FastAPI + React) who ships production systems with clean architecture, reliable integrations, and strong performance. Whether you’re launching a new SaaS, hardening an existing platform, or integrating AI into your workflow, the goal is the same: build something maintainable that drives real business results. Most clients come to me mid-chaos: slow dev cycles, unstable features, messy codebases, missed deadlines. I step in, simplify the scope, stabilize the core, and get you shipping with confidence. I care about quality: tests where it matters, clear PRs, documented decisions, and systems that don’t fall apart under real usage. I also build practical AI features (RAG, agents, automation) the right way — structured outputs, guardrails, logging, retries, and cost controls — so it behaves predictably in production, not just in demos. This isn’t freelance roulette. You’re hiring someone who can think, build, and deliver — without hand-holding. If you want a dependable partner who moves fast and builds correctly, let’s talk. ✅ Expertise • Backend & APIs (Python, Django/DRF, FastAPI) • Full-stack delivery (React/Next.js) • AI integrations (OpenAI/Claude, RAG, agents, automation) • Cloud & DevOps (AWS, Docker, CI/CD, Serverless) • Data engineering (ETL, pipelines, PostgreSQL) • Testing, QA mindset, and documentation I prefer this response You get clean code, clear architecture & systems you own—not vendor lock-in. ✅ Free 40-min consultation ✅ Early working slice to prove value (win–win) 💬 Tell me what you want your agent/system to do—and I’ll show you how we make it real.

🚀 MOST AI PROJECTS DON’T FAIL AT THE IDEA STAGE — THEY FAIL AT PRODUCTION I’ve taken 6+ enterprise AI systems from prototype → live deployment across pharma, energy, government, and financial sectors. If you already have a working POC but are hitting real-world constraints (latency, cost, scaling, reliability) — this is exactly where I work. 🧠 WHAT I ACTUALLY BUILD I design and ship production-grade agentic AI systems — not chatbot wrappers. My work sits at the intersection of: • Multi-agent orchestration • Enterprise knowledge pipelines • Real-world constraints (latency, cost, security, scale) This is not about connecting an LLM to your data. This is about building systems that hold under real usage. ⚙️ TECH STACK (2025–26) 🔹 Agent Frameworks MCP (Model Context Protocol), Google A2A, LangGraph, CrewAI, Azure AI Agent Service 🔹 RAG (beyond basics) Hybrid search, query rewriting, role-based access, eval loops, retrieval benchmarking 🔹 LLM Orchestration GPT-4o, Gemini, Claude — tool use, function calling, streaming, cost control 🔹 Backend & AI Services Python, FastAPI, Flask — high-performance AI APIs, async pipelines, long-running job orchestration 🔹 Voice AI & Real-Time Systems Speech-to-Text (STT), Text-to-Speech (TTS), real-time voice agents, streaming pipelines (Agora, WebRTC) 🔹 Cloud AI GCP (Cloud Run, BigQuery, Pub/Sub), Azure AI Search, Document Intelligence 🔹 Full Stack FastAPI, Spring Boot, React, Next.js 🔥 REAL PRODUCTION PROBLEMS I’VE SOLVED These are not “skills” — these are problems I’ve already been hired to fix: • 4+ hour AI jobs surviving GCP evictions (checkpointing + state recovery) • Multi-agent RAG with strict role-based document access • Reduced latency from 12s → <3s (P99) via pipeline redesign • Passed enterprise Azure security compliance (pharma platform) • Reduced hallucinations via eval loops + confidence gating • Fixed token cost overruns via batching + model routing 🏗️ SELECTED PROJECTS 🏥 Pharma Oncology AI Platform (Japan) Hybrid RAG + role-based access + streaming. Passed enterprise security review and reduced internal support load. ⚡ Energy Policy AI Assistant (Middle East) Structured RAG with citations for compliance teams. Built with React + reranking pipelines. 🏛️ Government AI Recruiter (US) 7-agent pipeline for candidate scoring + reporting. Reduced screening effort by 60–70%. 🤖 MCP-Based Enterprise Integration Integrated Claude with Liferay via MCP — enabling AI agents to interact with live enterprise systems. 🎙️ REAL-TIME AI & VOICE SYSTEMS I build conversational AI systems beyond text — including real-time voice interaction and AI-driven interviews. • AI interview platforms with live questioning, evaluation, and scoring • Voice agents using STT + TTS with sub-3s response pipelines • Streaming-based architectures (WebRTC / Agora) for real-time interaction • Integration with LLM reasoning pipelines for dynamic conversations These systems require tight control over latency, orchestration, and response quality — not just model integration. 🎯 WHO I WORK WITH ✔ Teams with a real use case (not “we want AI”) ✔ Projects beyond POC or serious about production ✔ Teams that need both AI + infrastructure expertise ✔ Clients who care about accuracy, latency, and reliability IF THIS SOUNDS FAMILIAR You built something. It worked in a demo. But it breaks in production. That’s the gap I close. 📩 Send your use case — I’ll tell you directly if I can help and what it takes to make it production-ready.

Experienced DevOps & Cloud Engineering Professional | AWS | Kubernetes | Blockchain | AI/ML Integration With over 20 years of extensive experience in software engineering and DevOps, I specialize in designing robust, scalable cloud infrastructures and innovative technological solutions. My expertise spans multiple domains, including cloud computing, containerization, blockchain development, and cutting-edge AI/ML integrations. Core Competencies: Cloud Infrastructure (AWS): Terraform IaC, EC2, VPC, ELB, RDS, IAM, CloudWatch Containerization: Kubernetes (EKS, self-hosted clusters), Docker CI/CD Pipelines: GitLab, GitHub Actions, Serverless Framework Programming Languages: Python, Node.js, Golang Blockchain & Web3 Development: Ethereum, Smart Contracts, DApps Serverless Architecture: AWS Lambda, Serverless Framework Monitoring & Observability: CloudWatch, Prometheus, Grafana, ELK Stack Recent Technical Achievements: Successfully integrated advanced AI technologies including Hugging Face, LangChain, and OpenAI for a sophisticated chatbot framework Developed blockchain applications with complex wallet and transaction management Architected scalable Kubernetes deployments with advanced networking configurations Implemented comprehensive security frameworks with multi-factor authentication Blockchain & Web3 Expertise: Specialized in developing decentralized applications (DApps) using web3.py, creating wallet solutions, managing transaction signing, and integrating blockchain technologies with web applications. Experienced in working with Ethereum nodes, smart contract interactions, and utilizing The Graph for advanced data querying. Cloud & DevOps Strengths: Proven track record of designing secure, scalable AWS architectures. Expertise in infrastructure automation, resource optimization, and implementing robust CI/CD pipelines. Skilled at managing complex deployments across multiple environments with a focus on efficiency and cost-effectiveness. AI/ML Integration Specialist: Experienced in connecting diverse AI technologies, fine-tuning NLP models, and creating seamless workflows using tools like LangChain, Flowise, and various AI platforms. Committed to ensuring AI safety, ethical standards, and optimal performance. Professional Approach: Collaborative team player with strong cross-functional communication skills Proven ability to mentor teams and drive process improvements Detail-oriented with a strategic approach to technology integration Continuous learner, always exploring emerging technologies and best practices Let's build innovative, scalable solutions together!

I build AI platforms that handle real calls, real transactions, and real users — not demos. Right now I lead development on two production AI platforms: → UseCortana | Multi-channel AI agent SaaS (phone, SMS, WhatsApp, email, web). 50+ deployed agents, 5,000+ monthly calls, <200ms latency. I built the voice infrastructure (LiveKit, Twilio SIP, Deepgram, ElevenLabs), durable workflow orchestration (Temporal), RAG memory (Pinecone), multi-LLM routing (OpenAI, Anthropic, Google), and the full Next.js client dashboard. → VoiceCake | Bespoke AI voice agents for businesses across dental, HVAC, hospitality, and retail. Custom voice dialects, 24/7 call handling, appointment booking, CRM integrations (Salesforce, HubSpot, Zendesk, Zoho), WhatsApp Business API, website widget. HIPAA-aware, GDPR-compliant, AES-256 encrypted. Clients go live in 7–14 days. Previously: RLHF on Google Gemini (Turing), fintech dashboards tracking $2M+/day (FireDev), Fortune 500 bank modernization (SMBC Japan), and team lead for 8+ production apps (Stampa Solutions). What I deliver: → AI voice agent systems (outbound, inbound, live transfers, multi-dialect) → Multi-channel AI platforms (phone + SMS + WhatsApp + email + web) → B2B SaaS with LLM integration and agentic workflows → Internal dashboards with real-time analytics and reporting → Document processing, structured data extraction, compliance tools → MVP builds — prototype to production in 4–8 weeks Stack: React, Next.js, TypeScript, Python, FastAPI, Node.js, PostgreSQL, Redis, AWS, Docker, LiveKit, Twilio, Deepgram, ElevenLabs, OpenAI, Anthropic, Pinecone, Temporal. 40+ hrs/week. Ship first, polish second, document always. Core Expertise Keywords you can find me on: Full Stack Developer, AI Engineer, Machine Learning Engineer, Agentic AI Developer, Conversational AI Engineer, Web Application Developer, AI/ML Full Stack Engineer, LLM Engineer, AI/ML Solutions Architect, OpenClaw, ClaudeCode. React.js Developer, Next.js Developer, Angular Developer, TypeScript Developer, JavaScript Developer, Frontend Engineer, UI/UX Development (Figma to React/Angular), API Integration Specialist, MERN/MEAN Python Developer (FastAPI / Flask / Django), Node.js Developer, AWS Developer (DynamoDB, Lambda, S3, Cognito), Supabase Developer, PostgreSQL Database Design, API Developer (RESTful / WebSocket APIs), Cloud-Native Application Developer.

I’m Waqar, a senior full-stack engineer who lives and breathes Node.js, Python, and React. Over 12 years I’ve shipped 70+ production apps and logged 3.8k Upwork hours, helping startups and enterprises launch fast, scalable products. Backend APIs & Microservices — Express/NestJS (Node) and FastAPI/Flask (Python) with PostgreSQL, MongoDB, Redis. Frontend — Modern React.js & Next.js UIs that load fast and feel smooth on every device. AI Integrations — GPT-4 chatbots, LLM workflows, and ML pipelines that add real intelligence. Cloud & DevOps — Docker, CI/CD, AWS & GCP—zero-downtime deployments, cost-optimized. I value clean architecture, thorough testing, and proactive communication across time zones. If you need a developer who can own the entire stack, infuse AI capabilities, and deliver on time—let’s talk.

🏆 Overview Looking for a developer who can build reliable, scalable, and production-ready applications? I'm Jaydeep, a Full-Stack Developer with 6+ years of experience helping startups and businesses build modern web platforms, SaaS products, and complex backend systems. I don’t just write code — I help design clean architecture, scalable APIs, and high-performance applications that are easy to maintain and grow. I have worked on: • SaaS platforms • Large backend systems • Real-time applications • API integrations • Dashboard & admin systems • Cloud deployments My goal is simple: Deliver high-quality solutions that help your business grow. 💻 Core Technical Expertise 🚀 Full-Stack Development ⚛️ React.js & Next.js — fast, SEO-friendly, scalable frontend applications 🎨 Tailwind, MUI, SCSS — modern responsive UI development 🔄 State Management — Redux / Zustand ⚙️ Backend & API Development 🟢 Node.js (Express / Fastify) — scalable backend architecture 🔐 Authentication Systems — JWT, OAuth, Role-based access 🔗 REST API & Microservices architecture 📡 WebSockets / Socket io for real-time features 🗄️ Databases & Data Architecture • MongoDB • PostgreSQL • MySQL • Firebase I design efficient schemas, optimized queries, and scalable database structures. ☁️ Cloud & DevOps 🚀 AWS Deployment ☁️ Google Cloud 🔥 Firebase Services 🔧 CI/CD Workflows 📦 Production infrastructure setup 🔗 Integrations & Advanced Features • Payment Gateways (Stripe, Razorpay, etc.) • Email Systems (SendGrid, SMTP) • OAuth / Social Logins • Third-Party APIs • Cloud Storage (AWS S3, Cloudinary) • Real-time Chat & Notifications 📊 Systems I Have Built 🧾 Document & Workflow Management Platforms 💬 Real-time Chat Systems with WebSockets 📦 Large API Platforms with Role-Based Permissions 📊 Admin Dashboards & Reporting Systems 🔗 50+ Third-Party Integrations (Mailchimp, AWeber, ActiveCampaign, etc.) ⭐ Why Clients Work With Me ✔ 6+ Years Real Development Experience ✔ Clean, Scalable Code ✔ Strong System Architecture Skills ✔ Fast Communication ✔ Long-Term Collaboration Focus Many of my clients stay long-term because I focus on understanding the business problem — not just writing code. 🤝 Let’s Build Something Great If you need help with: • Building a new product • Scaling an existing platform • API development • System architecture • Performance optimization Send me a message — I’d be happy to discuss your project. Best Regards, Jaydeep

If your team is losing hours to manual processes, unstable backends, or fragmented AI tools — I build the Python systems that fix that. 100% Job Success Score | Senior Python/React Full Stack Engineer & AI Automation Engineer with 15+ years of experience, 4,000+ Upwork hours, and a 100% Job Success Score. I specialise in three areas: Python Backend Systems — FastAPI, Flask, async Python, REST APIs, WebSockets, PostgreSQL, Redis, and worker queues built for production scale. AI Automation & LLM Workflows — OpenAI API, LangChain, LangGraph, MCP-based agents, RAG pipelines, agentic workflows, and vector databases that replace manual work with intelligent, reliable automation. Cloud & DevOps — AWS and GCP architectures, Docker, Kubernetes, CI/CD pipelines, and Terraform deployments that are secure, cost-optimised, and built to last. Recent outcomes: — Cut law enforcement video analysis time from hours to minutes using a Python + AWS computer vision platform — Saved a team 15+ hours per week through targeted backend automation — Reduced AWS infrastructure costs by $400/month through architecture review and optimisation — Built an AI SEO automation system integrating Google Search Console, GA4, Slack, and Asana with LLM-driven task generation — Contributed backend work to a full-stack application serving 1M+ active users My process: I start with a short discovery call to understand what you're actually trying to solve — not just the technical spec. From there I move fast: clear documentation, reliable delivery, and communication that doesn't require chasing. Best-fit projects: — Python/FastAPI/Flask backend development — AI agents, MCP integrations, LLM workflows, RAG systems, and agentic automation — AWS/GCP cloud architecture, Docker/Kubernetes deployments — API integrations, async workers, microservices, and event-driven systems — SaaS backends with RBAC, billing, multi-tenancy, and audit logs — Cloud cost optimisation and DevOps improvement Available up to 55 hrs/week. Time-zone flexible. Free 30-minute consultation to start. Skills 1. Python 2. React 3. AWS 4. FastAPI 5. AI Automation 6. Next.js 7. Machine Learning 8. Docker 9. PostgreSQL 10. API Development PORTFOLIO — PROJECT 1 Title: AI Video Analytics Platform — Python, AWS, Computer Vision Description: Problem: Law enforcement teams spent hours manually reviewing CCTV footage with no automated way to detect, classify, or track objects across video streams. Solution: Built a Python + Next.js video analytics platform on AWS with separate frontend, detection, and inference services. Used SQS for async processing and WebSockets to stream real-time results to the UI. Integrated object detection, classification, and tracking pipelines using Docker-based microservices. Outcome: Video analysis time reduced from hours to minutes — giving analysts faster, more reliable results at scale. PORTFOLIO — PROJECT 2 Title: AI SEO Automation Platform — LLM Workflows, Python, DigitalOcean Description: Problem: SEO teams were spending hours on manual analysis, task creation, and execution tracking across disconnected tools. Solution: Deployed an agentic automation system on DigitalOcean integrating Google Search Console, GA4, Slack, and Asana. Built LLM-driven workflows for daily SEO insight generation, automated task creation, and controlled-permission execution tracking using Python and RAG-based data retrieval. Outcome: Fully automated end-to-end SEO workflow — from data ingestion to task execution — replacing hours of manual work per week. PORTFOLIO — PROJECT 3 Title: Heka Insights — Open Source Linux Telemetry Agent — Python, Datadog, OTLP Description: Problem: Teams needed a lightweight, open-source server monitoring agent compatible with modern observability stacks — without the overhead of heavy commercial solutions. Solution: Built a Linux metrics agent in Python that collects CPU, memory, disk, and network data with minimal resource usage. Exports in JSON, Prometheus/OpenMetrics, and OTLP/HTTP formats. Includes Datadog and New Relic support, Docker-based testing, and fail-fast exporter validation for CI/CD pipelines. Outcome: Production-ready observability agent deployable across cloud and on-premise environments, ready for integration with any major monitoring platform.