Senior AI Engineer | Python, Next.js, FastAPI, Low-code deployments ⭐ Top Rated (8+ years) 🤝 TRUSTED by Toptal (Top 3%) ✅ Vibe Coder, ML, NLP & LLM, Claude (SKILLS), MCPs, Hermes, AWS I spent 𝟱 years building production systems the traditional way but for the last 𝟯+ years, I'm helping startups and product teams ship 𝟯𝟬𝘅 faster. Whether that's building from zero, deploying to production or auditing an existing product to find what's slowing it down. Behind those numbers is a system: deep mastery of Claude Code, MCP architecture, AI agents, tools like Replit, Lovable and Cursor. Most freelancers make you take all the risk: you pay, you wait, you hope. I flip it. Send me your idea. I'll send back a practical production roadmap: what to build, what to skip, what it'll take. That costs you nothing but the message. Worst case? You get a free second opinion from someone who's shipped 𝟱𝟬+ 𝘁𝗶𝗺𝗲𝘀. Best case? We build something that prints. You bring an idea or a half-built product. I give you the shortest honest path to production. Sometimes that path is "build this with Claude Code in two weeks." Sometimes it's "your architecture will collapse at 1,000 users, let's fix this first." You get the truth either way, because the truth is cheaper than a rebuild. 𝗥𝗲𝗰𝗲𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - AI-powered audio transcription and chatbot pipeline using OpenAI Whisper and LLMs - OpenClaw troubleshooting and optimization for AI-assisted logistics workflows - Custom conversational AI systems designed for business automation - Voice AI solutions for customer interactions and workflow automation - AI-powered lead generation and business process automation platforms - Python applications integrating OpenAI APIs, vector search and custom business logic 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈’𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 - SaaS & Subscription Products (Mastered) - EdTech & Learning Platforms (Mastered) - Media & Content Platforms - Internal Enterprise Tools & Dashboards - Healthcare & Digital Health - FinTech & Financial Platforms Some examples of systems I build: - AI Agents for websites and SaaS products - RAG assistants for document search and knowledge bases - Voice AI agents for inbound and outbound automation - Automation pipelines using Python and n8n/Claude Code - Backend APIs powering AI products Technologies: AI & LLMs: OpenAI, Claude, ChatGPT API, Prompt Engineering, RAG, Vector Databases, AI Agents Backend: Python, FastAPI, Django, REST APIs, PostgreSQL, SQL, API Integrations Cloud & Infrastructure: AWS, Docker, Serverless Architectures, Cloud Deployments Frontend: React, Next.js, TypeScript Integrations: HubSpot, Salesforce, Slack, CRMs/GHL, Claude, OpenClaw and internal APIs. If you need someone who can design + build + deploy AI end to end, we’ll work well together. Share your use case or goal, and I’ll outline a clear build plan. __________________ SKILLS & TAGS AI & LLM Development: Artificial Intelligence, AI Agent Development, Large Language Models (LLM), Generative AI, OpenAI API, ChatGPT API, Claude AI, Claude API, GPT-4o, AI Chatbot Development, Conversational AI, Prompt Engineering, RAG, LangChain, LangGraph, Vector Database, Pinecone, FAISS, Natural Language Processing (NLP), Machine Learning AI Systems & Automation: AI Automation, Multi-Agent Systems, Agentic AI, OpenClaw, OpenClaw Agents, MCP (Model Context Protocol), AI Application Development, Workflow Automation, API Integration Backend & Application Development: Python, FastAPI, Django, REST API, Backend Development, SaaS Architecture, React, Next.js, TypeScript Cloud & Infrastructure: Amazon Web Services (AWS), AWS Lambda, Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes, CI/CD, Cloud Deployment MLOps & Deployment: MLOps, Model Deployment, Machine Learning Deployment, Data Pipelines, AI Infrastructure, Production AI Systems

Most AI systems work in a demo. I help funded SaaS teams make them reliable, secure, observable, and affordable in production. I build AI agents, RAG systems, workflow automation, and the AWS infrastructure required to operate them. I work across the full delivery path: clarify the business problem, design the architecture, implement the critical path, connect the system to existing APIs and data, and prepare it for production ownership. Teams usually bring me in when: - a RAG system returns inconsistent answers, times out, or lacks evaluation; - an AI-agent prototype needs dependable tools, state, approvals, and failure handling; - an AI workflow must integrate with an existing SaaS product or business process; - AWS infrastructure is difficult to deploy, debug, secure, or control financially; or - the team needs one senior engineer who can connect AI behavior with production architecture. My core work includes: AI agents and automation — tool-calling workflows, structured outputs, human approvals, state management, API integrations, retries, guardrails, and operational failure paths. Production RAG — document ingestion, retrieval design, prompt and response structure, evaluation plans, access boundaries, latency review, observability, and cost-per-request analysis. AWS architecture — Amazon Bedrock, Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS, Cognito, ECS, EKS, Terraform, CDK, CloudWatch, and production delivery workflows. Visible Upwork proof includes 100% Job Success, Top Rated status, $80K+ earned, more than 2,400 hours, and 40 completed jobs. One production Cognito, Lambda, and SQS engagement ran for 686 hours and earned a five-star client review. Other five-star, client-endorsed work includes AWS infrastructure with Terraform, SaaS cost and reliability analysis, a production RAG pipeline fix, multi-cloud delivery improvements, and AI/ML workflow automation. I will push back when a deterministic workflow is safer than an autonomous agent, when a simpler AWS design will ship faster, or when an AI feature lacks evaluation, rollback, observability, or cost controls. I communicate architecture decisions directly and document the trade-offs so your engineering team can operate the system after handoff. To start, send me: 1. Your current stack 2. What you are trying to ship 3. What is failing, risky, or unclear I will respond with the first production risks I see and the most practical next step.

Hello! I'm Subhojit, a seasoned Project Manager, Business Intelligence and AI Architect with 12+ years of experience transforming business challenges into data-powered strategies. From architecting robust BI systems to leading cross-functional teams on cloud-driven data initiatives, I bring deep technical knowledge paired with proven leadership in delivering real business impact. At NeenOpal, a global data consulting firm, I help enterprises modernize, scale, and monetize their data by architecting secure, low‑latency cloud solutions on AWS, Power BI, Tableau, and ML frameworks, etc. From edge‑device telemetry to CEO dashboards, I design end‑to‑end systems that turn streaming data into actionable insight, fast. -----------🔍 𝐖𝐡𝐚𝐭 𝐈 𝐎𝐟𝐟𝐞𝐫 ------------ ✅ End-to-End BI Solutions Designing, architecting & delivering scalable Business Intelligence solutions using tools like Power BI, Tableau, Qlik Sense, and Amazon QuickSight. From data modeling to dashboard deployment – your data journey is covered. ✅ Cloud & ETL Architecture Cloud-native solutions using AWS (EC2, S3, Glue, Lambda) and ETL tools like SSIS for data orchestration, warehousing, and integration. ✅ Data Analytics & Machine Learning Building predictive models and actionable analytics pipelines using Python, SQL, and AWS SageMaker, to uncover insights and drive proactive decision-making. ✅ Project & Delivery Management Hands-on project leadership with Agile & Scrum methodology – managing timelines, stakeholders, and technical teams to deliver outcomes on time and budget. ------------ 💼 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 ------------ ☑️ Results-Oriented Delivery: Spearheaded 50+ successful BI and ML projects across Retail, F&B, Fashion, Advertising, and Home Improvement. ☑️ Full-Stack BI Expertise: From data ingestion to ML models and visualization ☑️ Client-Centric Focus: I take time to understand business pain points and craft bespoke, high-impact solutions that lead to measurable results. ☑️ Certified & Cloud-Ready: Deep expertise across cloud platforms with a strong focus on AWS-native services for modern, scalable data systems. ------------ 🛠 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 ------------ ✔ Generative AI & LLMs: AWS Bedrock, Azure OpenAI, LangChain, RAG, Prompt Engineering ✔ AI & Machine Learning: Python, TensorFlow, PyTorch, SageMaker, Forecasting, Anomaly Detection ✔ SaaS & Full Stack: React, Next.js, Node.js, FastAPI, Multi-Tenant Architecture ✔ Cloud Platforms: AWS (Lambda, Glue, Redshift, IoT, EventBridge), Azure Synapse, Snowflake ✔ BI & Analytics: Power BI, Tableau, QuickSight, Looker, QuickSight ✔ DevOps & MLOps: Docker, Kubernetes, CI/CD, Terraform, Model Monitoring ------------ 🏢 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐒𝐞𝐫𝐯𝐞𝐝 ------------ Retail & E-Commerce | Food & Beverage | Fashion | Digital Ads | Home Improvement | Logistics | Consumer Insights 📞 Let’s Talk! Want a trusted partner to own your data-to-decision journey? Invite me to your job for a complimentary 30-minute consultation. Let’s explore how data can be your competitive edge. 🔑 Keyword Tags AWS Solutions Architect | AWS Architect | Cloud Infrastructure | Digital Transformation | System Design | IoT Analytics | Real‑Time Analytics | Amazon QuickSight | AWS IoT Core | AWS Lambda | AWS Glue | Kinesis | Redshift | Snowflake | Power BI | Tableau | Data Warehouse | Data Engineering | Python | SQL | Machine Learning | Predictive Modeling | Streaming Analytics | DevOps | Terraform

As a Senior Data Engineer and BI Specialist with 7+ years of hands-on experience, I specialize in building robust, scalable, and secure data ecosystems that directly enhance business performance and decision-making. I don't just manage data I architect solutions that provide a measurable return on investment. ✅𝗠𝘆 𝗣𝗿𝗼𝘃𝗲𝗻 𝗧𝗿𝗮𝗰𝗸 𝗥𝗲𝗰𝗼𝗿𝗱: Accelerated Decision-Making: Developed sophisticated, user-friendly dashboards in Microsoft Power BI that improved client decision-making efficiency by over 40%. Workflow Automation: Implemented end-to-end ETL/ELT pipelines and automated data cleaning processes, consistently reducing manual effort and processing time by 50%. Full-Stack Data Solution: Expertise spanning from initial database development (T-SQL, PostgreSQL, MySQL) and complex query optimization to final-mile Data Visualization and Reporting. ✅𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 Data Scraping Web Scraping Data Extraction Data Mining Data Engineering ETL Pipeline Data Processing Data Cleaning ✅𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 Python Selenium BeautifulSoup Scrapy Pandas API Integration REST API JSON / CSV Handling ✅𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 Node.js Express.js MongoDB PostgreSQL MySQL ✅𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗧𝗼𝗼𝗹𝘀 Automation Web Automation Task Automation Cron Jobs ✅𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Azure: Building and managing pipelines using Azure Data Factory (ADF), Dataflow, and Azure Databricks. AWS: Designing storage and processing solutions with AWS S3, Glue, and Redshift. ETL/ELT Mastery: Developing reliable and high-performance workflows using Python, SSIS, and Talend Open Studio. ✅𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 & 𝗕𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Database Development: Expert in Microsoft SQL Server, PostgreSQL, MySQL, and Oracle—focusing on performance tuning and robust data modeling. Business Intelligence (BI): Advanced report development in Power BI, including complex DAX calculations and utilizing Power Query for advanced data shaping. Reporting: Delivering professional reports using tools like SSRS. Click the "Invite to Job" or "𝗠𝗲𝘀𝘀𝗮𝗴𝗲" button. Let's discuss your specific data challenges today and chart a path to smarter decision-making.

If your cloud infrastructure, CI/CD pipelines, data workflows, or ML deployments are becoming difficult to manage, insecure, or hard to scale, I can help you build a reliable, automated, and production-ready system. I’m a DevOps, MLOps, and Cloud Engineer with 4+ years of hands-on experience designing, deploying, and maintaining secure cloud infrastructure across AWS, Azure, and Google Cloud Platform. I help startups and growing companies automate deployments, manage Kubernetes environments, optimize cloud operations, and deploy AI/ML systems with scalable DevOps practices. My work focuses on building systems that are secure, scalable, cost-efficient, observable, and easy to maintain. Here’s how I can help: DevOps Engineering & CI/CD Automation I build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, and Bitbucket pipelines. I help teams automate deployments, reduce manual errors, improve release speed, and create reliable workflows across development, staging, and production environments. Cloud Infrastructure on AWS, Azure & GCP I design and manage cloud infrastructure using AWS, Azure, and GCP, including compute, networking, storage, IAM, databases, load balancing, certificates, secrets, monitoring, and security services. I also work with infrastructure automation using Terraform and AWS CDK. Kubernetes, Docker & GitOps I deploy and manage containerized applications using Docker, Kubernetes, ECS, EKS, Helm, and Argo CD. I can help with Kubernetes cluster operations, Helm chart development, GitOps workflows, autoscaling, ingress, secrets management, and production-grade deployment strategies. MLOps & AI Infrastructure I support AI/ML and GenAI workloads by deploying and managing ML models, RAG and non-RAG workflows, and AI infrastructure using tools like Azure AI Foundry, Kubernetes, cloud storage, APIs, and CI/CD automation. I help teams move ML workloads from experimentation to stable production environments. Data Engineering & Workflow Automation I build and automate data workflows using Python, AWS Lambda, S3, DynamoDB, API Gateway, databases, Kafka-based workflows, DAG pipelines, and cloud-native data services. I can help automate manual tasks, improve data reliability, and connect systems through scalable backend workflows. Cloud Security & Compliance Support I implement security best practices across cloud environments, including IAM hardening, Secrets Manager, AWS Security Hub, GuardDuty, Inspector, WAF, vulnerability scanning, and secure CI/CD practices. I also have experience working with compliance-focused environments, including PCI DSS. Monitoring & Observability I set up monitoring, logging, alerting, and dashboards using Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, and Uptime Robot. I help teams detect issues early, reduce downtime, and improve visibility across applications and infrastructure. I don’t just configure tools. I build complete cloud and DevOps systems that help businesses deploy faster, reduce operational risk, improve security, and scale with confidence. If you need help with AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, MLOps, data workflows, cloud security, monitoring, or infrastructure automation, let’s discuss your project. Tools & Technologies Cloud Platforms: AWS, Azure, GCP AWS: EC2, RDS, S3, VPC, IAM, Route 53, SQS, ECS, EKS, Lambda, API Gateway, DynamoDB, Secrets Manager, WAF, Config, SNS, Security Hub, Inspector, GuardDuty, CodePipeline, Amplify, Elastic Beanstalk Azure: Azure AI Foundry, Azure DevOps, App Services, Virtual Machines, Networking, Storage GCP: Compute Engine, Cloud Run, Cloud SQL, Cloud Build, Cloud Storage, VPC, IAM, Secret Manager DevOps & CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, Bitbucket Pipelines Containers & Orchestration: Docker, Kubernetes, ECS, EKS, Helm, Argo CD IaC: Terraform, AWS CDK MLOps & Data: Azure AI Foundry, RAG workflows, Python automation, AWS Lambda, S3, DynamoDB, API Gateway, Kafka, DAG workflows Monitoring: Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, Uptime Robot Databases: PostgreSQL, MSSQL, MongoDB, AWS RDS Security: AWS Security Hub, GuardDuty, Inspector, Secrets Manager, WAF, SonarQube, Snyk, Veracode Scripting: Bash, Python Version Control: GitHub, GitLab, Bitbucket Operating Systems: Linux, Windows Server

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.

I design and build AI-powered systems and automation solutions that move beyond prototypes into scalable, production-ready applications. With over 6 years of experience in software engineering and 4+ years in DevOps and cloud architecture, I specialize in combining LLM capabilities with robust backend systems and cost-efficient infrastructure. if you want to: - Turn an AI idea into a real product - Automate operations using LLMs - Scale your system without blowing up cloud costs I can design, build, and deploy it end-to-end.

✅ Available Now | 🎯 Top Rated Plus | 💯 100% Job Success I help startups and enterprises design and build production-grade GenAI systems, including AI agents, RAG pipelines, and LLM-powered platforms, using AWS Bedrock, OpenAI, and scalable cloud architecture. With 11+ years of engineering experience and a strong track record of delivering complex systems, I specialize in turning AI concepts into reliable, scalable, real-world applications. Most developers can integrate AI APIs. I focus on building end-to-end AI systems that actually work in production. What I Build ✅ AI Agents & Autonomous Workflows » Multi-step reasoning systems that automate business operations, decision-making, and task execution. ✅ RAG (Retrieval-Augmented Generation) Systems » Knowledge assistants built on internal data (PDFs, CRMs, databases) with citation-based answers and hallucination control. ✅ AWS Bedrock-Powered AI Solutions » Enterprise-grade GenAI systems using Claude/Titan with structured outputs, secure architecture, and scalable pipelines. ✅ LLM-Powered SaaS Platforms » End-to-end AI product development with clean architecture, real-time processing, and cost-optimized LLM usage. ✅ AI Analytics & NL2SQL Systems » Query your data in natural language, turn dashboards into conversational intelligence tools. ✅ AI Workflow Automation » Combine LLMs with APIs, scraping, and business logic to eliminate manual processes. Why Clients Hire Me → AI System Thinking I design complete AI architectures, not just prompts or APIs → Production-Ready Approach Built for scale, latency control, and cost efficiency → Business-First Execution Every system is aligned with measurable outcomes (efficiency, automation, ROI) → Fast Execution on Existing Systems Can jump into projects with ready docs, schemas, or wireframes ✅ Rapid Prototyping → Production AI Systems » Design and build fast AI prototypes (POCs/MVPs) to validate ideas, test feasibility, and demonstrate value. » Seamlessly transition prototypes into scalable, production-grade systems without rework. » Ideal for startups and teams exploring GenAI use cases before full investment. What Clients Say ~ “They consistently exceeded our expectations… a true partner in our automation journey.” “Delivered ahead of schedule with clean architecture and clear communication.” “They have no boundaries in terms of ability…” Results Delivered → Built enterprise AI document & workflow platforms with semantic search and automation → Delivered RAG systems with strict knowledge grounding and citation accuracy → Developed AWS Bedrock-based AI assistants for structured data extraction → Created AI-powered analytics systems with natural language querying → 10,000+ hours across SaaS, AI, and automation systems → 100% client satisfaction across all Upwork contracts Best Fit Projects → Building AI products (not experiments) → Implementing RAG / AI agents / automation systems → Migrating to AWS Bedrock or scalable GenAI infra → Adding AI capabilities to existing platforms Let’s Build AI Systems That Actually Work If you’re serious about using AI to solve real problems, not just testing ideas, I can help you design and build a system that delivers measurable impact.

Top 1% Upwork expert full-stack software engineer, architect, and technology leader focused on software architecture, AWS, Node.js, Python, database design/optimization, CI/CD, and DevOps. I use modern AI Agentic tools to build MVPs or full scale apps in a short timeframe. Agentic tools: Claude Code, OpenClaw, N8N Programming: TypeScript/JavaScript, Python, Node.js, Shell Frameworks: Nest.js, React, Express, Django Databases: PostgreSQL, MySQL, DynamoDB, Timestream, MongoDB AWS: Lambda, API Gateway, ECS, RDS, SQS, SNS, S3, EC2, Route53, Redshift, CloudWatch, Serverless, etc. DevOps: CloudFormation, SAM, Terraform, CodePipeline, GitHub Actions, CI/CD AI/Automation: n8n orchestration; OpenAI/Anthropic tool calling; optional RAG/pgvector when needed; guardrails/observability Containers: Docker, Docker Compose, ECS, Kubernetes Blockchain: Ethereum, Algorand, DeFi, Hyperledger Indy/Aries, Self-Sovereign Identity Analytics/BI: Qlik, Tableau, Fine BI, Power BI Other: Software Architecture, Stripe payments, Stock/options trading Highly proficient in FinTech, DeFi, and financial services. Open to: Fractional CTO, Technical Advisor, Project Rescue

I am a Senior DevOps Engineer with hands-on experience designing, automating, and operating scalable cloud-native infrastructure across AWS and Kubernetes environments. I specialize in building fault-tolerant systems, implementing production-grade CI/CD pipelines, and enabling high-velocity, secure software delivery. My expertise spans Infrastructure as Code, container orchestration, GitOps, DevSecOps, and observability engineering, ensuring platforms are resilient, automated, and fully production-ready. I focus on reliability, scalability, and cost optimization while helping engineering teams ship faster with confidence. 🚀 Core Competencies • Architecting highly available AWS cloud infrastructures • Kubernetes cluster deployment and Day-2 operations • End-to-end CI/CD pipeline engineering • GitOps-driven deployment automation • Infrastructure as Code implementation • DevSecOps integration and compliance practices • Monitoring, logging, and observability design • Disaster recovery and backup strategies • Performance tuning and cost optimization ☁️ Cloud & Infrastructure ✅ AWS Services: EC2, EKS, ECS, Fargate, ECR, Lambda, API Gateway, S3, RDS, DynamoDB, Aurora, Redshift, VPC, IAM, SNS, SQS, CloudWatch, CloudTrail, Route 53, ALB, ELB, WAF, CloudFront, Auto Scaling Groups, Secrets Manager, Systems Manager (SSM), Step Functions ✅ AWS Data Engineering & ETL Pipelines: • AWS Glue (ETL jobs, crawlers, Data Catalog) • Amazon Athena (serverless SQL analytics on S3) • Amazon Redshift (data warehousing & analytics) • Amazon Kinesis (real-time streaming ingestion) • AWS Lambda for event-driven data processing • AWS Step Functions for workflow orchestration • Amazon EMR (Spark / Hadoop big data processing) • Amazon S3 Data Lakes & lifecycle policies • DynamoDB streams & event triggers • SNS & SQS event-driven pipeline architectures ✅ Infrastructure as Code: • Terraform (modules, remote state, workspaces) • CloudFormation • Terragrunt ✅ Networking & Architecture: VPC design, private/public subnets, NAT gateways, bastion hosts, VPC peering, Transit Gateway, hybrid connectivity 🐳 Containers & Orchestration • Docker containerization & optimization • Kubernetes (EKS & self-managed clusters) • Helm & Helmfile • Kustomize • NGINX Ingress & AWS Load Balancer Controller • Horizontal Pod Autoscaler (HPA) • Cluster Autoscaler • Rolling updates & zero-downtime deployments • Blue-Green & Canary release strategies 🔄 CI/CD & Automation • Jenkins (Declarative & scripted pipelines) • GitHub Actions • GitLab CI/CD • Bitbucket Pipelines • Argo CD • Flux CD • Jenkins X ✅ Practices implemented: • GitOps workflows • Automated testing integration • Artifact versioning & promotion • Multi-environment deployment pipelines • Secure CI/CD design 📊 Monitoring & Observability • Prometheus • Grafana • ELK Stack (Elasticsearch, Logstash, Kibana) • Loki • CloudWatch Metrics & Logs • OpenTelemetry • Alertmanager I design observability systems that enable proactive monitoring, SLO tracking, and rapid incident response. 🔐 DevSecOps & Security • IAM least-privilege design • Secret management & vault integrations • Container image scanning (Trivy, Clair) • Static security scans in CI/CD • SSL/TLS hardening • WAF configuration • Network segmentation • Policy enforcement (OPA) 🛠 Configuration Management & Scripting • Ansible • Chef • Bash scripting • Python automation scripts 🗄 Databases & Messaging ✅ Databases: PostgreSQL, MySQL, MongoDB, Redis, Memcached ✅ Messaging & Streaming: Kafka, RabbitMQ, SNS, SQS, Redis Pub/Sub 🖥 Systems Administration • Linux (Ubuntu, CentOS, Amazon Linux) • Server provisioning & hardening • Performance tuning • Log analysis & troubleshooting • Secure SSH & networking configurations 📈 Professional Impact • Built scalable Kubernetes platforms supporting microservices workloads • Automated infrastructure provisioning using Terraform • Implemented GitOps deployment models for production clusters • Designed CI/CD pipelines accelerating release velocity • Strengthened monitoring, logging, and alerting ecosystems • Enhanced cloud security and compliance posture I bring a production-first mindset, combining automation, scalability, and operational excellence to deliver reliable cloud platforms. If you’re looking for a Senior DevOps Engineer who can design, automate, and operate mission-critical infrastructure, I’d be glad to collaborate.