As a DevOps Engineer with 10+ years of experience, I specialize in Amazon Web Services (AWS), CI/CD, Docker, CloudFormation, and more. While gaining expertise in multiple fields like Cloud computing, DevOps, IT consulting, Data Science, Cyber security, Digital marketing and AI. Skilled in managing and optimizing AWS services such as EC2, ECS, S3, IAM, Lambda, and CloudFront, I focus on scalable, reliable infrastructure using CloudFormation. My expertise includes CI/CD, Docker, Jenkins, automated testing, and solution architecture, complemented by proficiency in Apache, Tomcat, Nginx, and various programming languages. I am adept at monitoring tools like Data Dog and New Relic, and experienced in managing Linux and Windows servers. My major skills: ✅ DevOps ✅ Amazon Web Services (AWS): EC2, ECS, S3, IAM, Lambda, Route 53, CloudFront, CloudFormation, RDS, etc; ✅ Solutions Architecture ✅ Deployment Automation ✅ Automated Tests ✅ Linux (Ubuntu/RedHat/CentOS) ✅ Bash Script ✅ Powershell ✅ SQL/ NoSQL ✅ Programming Languages (Python, Java, PHP, NodeJS, Ruby, Go) ✅ Databases: Microsoft SQL, MySQL, PostgreSQL, MariaDB; MongoDB, Redis, Memcache ✅ Network Protocols ✅ Apache, Tomcat and Nginx ✅ Git/SVN ✅ Amazon Web Services(AWS) ✅ DigitalOcean ✅ CI/CD ✅ Docker ✅ Kubernetes ✅ Jenkins ✅ Terraform ✅ Ansible ✅ Serverless ✅ Multi cloud networking

I work with CTOs, Engineering Directors, and VPs who need a senior architect they can trust with production systems, not just someone to do routine tasks. What I have delivered: $99,000+ in annual cloud cost savings for a single client through strategic rightsizing, scheduling, and consolidation Zero-downtime cross-continent migrations behind GCP Global Load Balancer Kubernetes platforms built from scratch for funded startups, production-ready on day one CI/CD pipelines across AWS, GCP, and Azure for property tech, restaurant chains, and EduTech companies Where I specialize: Cloud Architecture: AWS, GCP, Azure Kubernetes: EKS, GKE, AKS (CKA Certified) CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline Infrastructure as Code: Terraform, Ansible DevSecOps, SRE, HA/DR design Database operations: MySQL, MongoDB, RDS, Atlas Cost optimization and performance tuning Credentials: Google Cloud Certified (x3) | CKA | Azure Certified | Terraform Certified | Expert-Vetted Top 1% on Upwork I don't take every project. I take the right ones where I can deliver real outcomes. If you have a complex infrastructure challenge, let's talk.

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 AI Engineer with 10+ years of hands-on experience in architecting and building production-grade AI systems including 6 years at Microsoft and GE Healthcare, where I designed and deployed compliant AI systems in enterprise environments, healthcare, and legal. I specialize in transforming complex real-world problems into clean, reliable, and deployable AI systems from model design and optimization to cloud deployment and integration. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐎: I architect and build compliant AI systems for regulated industries where accuracy, auditability, and data controls matter as much as model performance. ▸ 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production AI systems with hybrid retrieval, structured grounding, hallucination mitigation, semantic caching, evaluation pipelines, monitoring, and reliability controls. ▸ 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Agentic and multi-agent workflows for voice AI, productivity AI, AI accessibility using LangGraph, LangChain, MCP-style orchestration, guardrails, fallback logic, and session-aware memory. ▸ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Production ML pipelines for ranking, classification, OCR / extraction, multimodal workflows, prediction, and model deployment designed for measurable outcomes and maintainable architecture. ▸ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Computer vision and multimodal systems for OCR, document processing, form extraction, image classification, object detection, and image-to-structured-data pipelines. ▸𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 & 𝐀𝐈 𝐒𝐚𝐚𝐒 Scalable AI platforms and SaaS products with secure APIs, orchestration layers, cloud-native deployment, multi-tenant architecture, RBAC, and product-ready backend systems. ▸ 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Compliance-aware AI systems for healthcare, legal, and fintech, including HIPAA, PHI, PII, auditability, deterministic workflows, and risk-controlled deployment patterns. ▸ 𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐭𝐨 𝐄𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 LLM, RAG, ML, and computer vision integrated into enterprise workflows, internal tools, legal document systems, healthcare platforms, accessibility-focused products, and SaaS applications through APIs and event-driven architecture. ◆ 𝐅𝐥𝐚𝐠𝐬𝐡𝐢𝐩 𝐰𝐨𝐫𝐤 ▸ 𝐒𝐦𝐚𝐫𝐭𝐂𝐢𝐭𝐞 - 𝐋𝐞𝐠𝐚𝐥 𝐀𝐈 / 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 Built an AI-powered legal document and citation platform designed to extract citations, organize references, and improve legal research workflows. Business result: Reduced manual citation review overhead to 80% and improved the speed to 60%. ▸ 𝐌𝐌𝐇𝐏 - 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 Built an AI-powered mental health platform with structured assessments, dashboards, and privacy-sensitive conversational experiences. Business result: Improved support continuity and reduced friction across mental health engagement workflows. ▸ 𝐀𝐈 𝐃𝐨𝐜 𝐌𝐚𝐤𝐞𝐫 - 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built an AI document-generation system for creating structured documents, presentations, spreadsheets, and multimedia content. Business result: Reduced manual drafting effort, accelerated content workflows, and improved output consistency. ◆ 𝐂𝐨𝐫𝐞 𝐯𝐚𝐥𝐮𝐞 𝐈 𝐛𝐫𝐢𝐧𝐠 ✓ Enterprise level AI systems delivered (Microsoft, Bayer, GE Healthcare) ✓ Production AI architecture that holds up under real usage, not just demos ✓ AI systems designed and built with compliance and risk boundaries in mind ✓ Hallucination risk reduced at the system-design level ✓ Agent workflows built for reliability, not experimentation ✓ Machine learning systems that are deployable, monitorable, and aligned with product goals ◆ 𝐓𝐄𝐂𝐇𝐍𝐈𝐂𝐀𝐋 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 LLM / Agents: OpenAI · Anthropic (Claude) · LangChain · LangGraph · LlamaIndex · Hugging Face · MCP · AutoGen · Multi-agent orchestration · tool-use agents · human-in-the-loop · evaluation pipelines · hallucination measurement Retrieval / RAG: Pinecone · Weaviate · hybrid SQL + vector search · Semantic retrieval · context quality scoring · RAG evaluation harnesses calibrated per-domain ML / Vision (Healthcare-specific): PyTorch · TensorFlow · OpenCV · OCR · DICOM · multimodal pipelines · Clinical-grade model evaluation standards Backend / APIs: Python · FastAPI · Node.js · REST APIs · Event-driven systems · microservices · FHIR-compatible API design Infrastructure: AWS · Azure · GCP · Docker · Kubernetes · CI/CD · MLOps · evaluation pipelines · audit-logging infrastructure · HIPAA-compliant data residency configurations I'd love to help in building your AI products from ground up or fixing your underperforming systems/models. Need an AI architect/engineer to own production delivery end to end? Send me a message!

Looking to automate, scale, or secure your cloud infrastructure? I help companies build efficient, future-ready DevOps systems across AWS, Azure, and GCP — enabling faster releases, reduced costs, and greater reliability. With 10+ years in the industry and satisfied clients on Upwork, I’ve delivered solutions for startups, mid-size SaaS companies, and enterprise platforms across multiple domains. What I Can Do for You: Cloud Infrastructure (AWS, Azure, GCP): Architecture, deployment, and cost optimization tailored to your business needs. Kubernetes & Docker: Build and manage scalable containerized environments with secure CI/CD workflows. Infrastructure as Code (Terraform, Ansible): Automate infrastructure for repeatability, compliance, and speed. CI/CD Pipeline Development (GitHub Actions, GitLab, Jenkins, Azure DevOps): Automate builds, testing, and deployments to reduce errors and speed up delivery. Monitoring, Logging & Reliability (Prometheus, Grafana, ELK, CloudWatch): Build observability systems that catch problems before users do. Security & Compliance: Implement best practices for cloud security, IAM, encryption, and standards like HIPAA, SOC 2, and GDPR. Why Clients Hire Me: 1. Reliable delivery – on time, with clean documentation and communication. 2. Scalable systems – built to support growth and evolving business needs. 3. Cloud cost reduction – without compromising reliability or speed. 4. End-to-end DevOps – from design to deployment, and ongoing support. Let’s talk about how to streamline your DevOps and make your infrastructure work harder for your business. Message me to discuss your project! Keywords: DevOps engineer, AWS DevOps, Azure automation, GCP expert, Kubernetes deployment, Terraform scripting, CI/CD pipelines, Docker, infrastructure automation, cloud security, microservices, serverless architecture, hybrid cloud, multi-cloud, cloud migration, platform reliability, SRE practices, observability tools.

🏆 "Sagar nailed everything we asked... better than I envisioned." 🏆 "An absolute pro in Power BI. Will work with him again." 🏆 "Efficient, insightful, and went above & beyond." Client testimonials that speak louder than pitches. 🚀 𝗧𝘂𝗿𝗻 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗼 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 – 𝗡𝗼 𝗚𝘂𝗲𝘀𝘀𝘄𝗼𝗿𝗸, 𝗡𝗼 𝗡𝗼𝗶𝘀𝗲 - I build clean, scalable analytics systems for startups, agencies, and enterprises. - Specialized in Power BI, GA4, and full-stack analytics strategy. - 100+ clients. Microsoft Certified. Expert-Vetted (Top 1%). 🎯 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 → Microsoft Solutions Partner – Data & AI (Azure) → Microsoft Certified: Data Analyst Associate (Power BI) → Microsoft Certified: Azure Data Engineer Associate → Google Analytics 4 Certification 🔍 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 • Full-stack dashboard delivery – DAX, Power Query, Embedded • Data modeling, RLS, app workspaces, API connections • Migration from Tableau, Excel, GDS, SSRS 𝗚𝗔𝟰 & 𝗚𝗧𝗠 • Property setup, events, conversions, attribution • GTM architecture + server-side tagging • Consent mode & Looker Studio integration 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Looker Studio (custom reports) • Tableau (LOD, Prep, UX) • Metabase / Superset 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 • Azure Data Factory, Logic Apps, Functions • Data pipelines from CRM, Ads, SQL, APIs • Python for ETL, segmentation, insights 🤝 𝗜 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 • SaaS startups scaling fast • eCommerce brands tracking full-funnel metrics • Agencies needing white-label analytics • Product & RevOps teams building reporting muscle 📈 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂’𝗹𝗹 𝗚𝗲𝘁 • Audit of your current stack • Clear roadmap to better insights • Dashboards that drive action • Reliable tracking + data integrity • Expert handover or training (your choice) ⚠️ 𝗜 𝗮𝗰𝗰𝗲𝗽𝘁 𝗼𝗻𝗹𝘆 𝗮 𝗳𝗲𝘄 𝗻𝗲𝘄 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗽𝗲𝗿 𝗾𝘂𝗮𝗿𝘁𝗲𝗿 — ensuring every engagement gets deep focus, not surface-level attention. I work best with clients who value excellence, reliability, and long-term outcomes. 📩 Ready to build a data system you can scale with? Let’s talk — I typically respond within 24 hours. — 𝗦𝗮𝗴𝗮𝗿 𝗥𝗮𝗯𝗮𝗱𝗶𝗮 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 | 𝗔𝘇𝘂𝗿𝗲 | 𝗚𝗔𝟰 | 𝗚𝗧𝗠 | 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝘁

Your AI feature worked in the demo. Production is a different story — that's where I come in. I help companies take AI from prototype to production: LLM integrations, RAG pipelines, chatbots, and workflow automation, built on AWS architecture that scales and passes security review. And when an AI-generated codebase falls apart, my team rebuilds it into something you can actually ship. Two problems I solve better than anyone: → AI Integration done right — Connecting LLMs (OpenAI, Anthropic, Bedrock) into your product with proper evals, guardrails, cost controls, and OWASP LLM Top 10 security. Not a wrapper — an architecture. → AI Code Rescue — Your Cursor/Copilot-built MVP got you funded, but it's breaking. I do systematic assessment and production hardening: security, scalability, test coverage, documentation. Why it works: methodology, not heroics After 74+ Upwork contracts, I've systemized AI-augmented development into a documented Multi-Agent Methodology: → Every decision documented and versioned — no tribal knowledge → Full audit trail — see exactly how your project evolves → Clean handoffs — the next developer won't curse me Foundation that backs it up → AWS Solutions Architect – Professional + Advanced Networking & Security specialties → 22+ years enterprise systems (Cognizant, Xerox, Hewitt) → Scaled a platform from 300 to 30,000+ concurrent users with zero downtime → HIPAA & SOC2 compliance systems · Fintech · IoT (AWS IoT Core) · Trading systems → 50+ senior developers via my Expert-Vetted agency for larger engagements Where I add most value Projects where "getting it right" matters more than "getting it cheap." Teams that want a technical partner, not a code vendor. How to start Message me with what you're trying to build or fix, your timeline, and constraints. I'll give you an honest assessment — including whether I'm the right fit.

✓ Technology executive specializing in architecting and implementing highly scalable solutions to drive brand awareness, increase revenues, optimize productivity and improve margins. ✓ Overseeing the data, security, maintenance, and network for a company. ✓ Implementing the businesses’ technical strategy and managing the overall technology roadmap of the business. ✓ involved with talent acquisition and its onboarding, training, and management of Project Manager, product Manager, Developers, Devops, Designers. ✓ Setting the technical strategy for the company to enable it to achieve its goals. ✓ Seeking out the current and future technology that will drive the company’s success. ✓ Focus on strategic alignment of technology goals to organizational vision. ✓ Passionately committed to technology team development, empowering people to accomplish their goals and coaching them realize their individual potential. ✓ Proven track-record of success in technology product development, cloud infrastructure,Building Data Platforms, ETL Pipelines, Streaming Pipelines ,e-commerce, CRM ,mobile strategy, and social media integration. I am working from last 8 years with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2.RDBM's(SQL, MySQL, Aurora, PSQL, Oracle), NoSQL engines (Hadoop/HBase, Cassandra,DynamoDB, MongoDB),GraphDB(Neo4j, Neptune) in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU. Deploying the ML DL Models on GPU Instances(Nvidia). Have a great experience in query optimization, application profiling, and troubleshooting. My area of expertise includes: - Python script - Jira,Trello,Azure DevOps - Web scraping - AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS) - GCP(Big Query, DataFlow, SnowFlow) - Microsoft Azure - Hadoop Big Data - Elasticsearch/Kibana/Logtash(ELK) - Hadoop setup on standalone, Cloudera, and HortonWorks. - SQL like MySQL PostgreSQL - NoSql Database like Hbase and MongoDB - Machine learning - Deep Learning - Spark with Mlib,GraphX - Sphinx - Memcache - MS BI/Tableau/GDS

Helping Startups & Enterprises Build Reliable, AI-Enabled Systems I help companies overcome unstable systems, integration bottlenecks, and production bottlenecks - turning fragile codebases into scalable, reliable, and production-ready platforms. With 15+ years of experience in backend architecture, mobile apps, AI integration, and cloud deployment (AWS, Azure, GCP), I specialize in solving complex technical challenges that slow down growth or increase operational risk. My expertise includes: • AI & ML Integration: Structured prompt design, LLM evaluation loops, JSON outputs, and automation workflows • Backend Architecture & Microservices: Scalable, maintainable systems for web and mobile applications • Payments & Cloud Systems: Stripe integration, secure cloud deployment, CI/CD pipelines Recent results: • Reduced AI output variance and improved reliability across thousands of records for an enterprise client • Delivered microservices for a federal healthcare platform, improving notification delivery speed and system stability • Built production-ready payment and e-commerce systems, cutting manual processing by 80% If you need to stabilize a system, integrate AI into your workflow, or build a high-quality backend platform, I can help you do it efficiently and reliably. AI & Automation: Prompt Engineering, LLMs (GPT-4/5), NLP, Structured Output, Evaluation Loops, LangChain Backend & Web: Java, Python, Spring Boot, FastAPI, REST APIs, Microservices Mobile: iOS Apps (Swift) Databases: MySQL, PostgreSQL, Oracle Cloud & DevOps: AWS, Azure, GCP, CI/CD (GitHub Actions) Payments & APIs: Stripe, OAuth, Postman, Swagger Featured Projects: AI Evaluation Loop Platform Designed structured prompts and evaluation workflows for LLMs, improving model consistency and reliability across thousands of records. Impact: Reduced output variance and improved accuracy. Government Healthcare Microservice Platform Developed backend microservices for federal healthcare notifications. Impact: Improved delivery speed, reliability, and employee communication. Startup Fitness App (iOS) Built a mobile app capturing user data and integrated AWS cloud storage. Impact: Enhanced user experience and retention through seamless cloud integration. Baked Goods E-Commerce Platform Developed backend microservices with Stripe payments and admin dashboards. Impact: Reduced manual order processing by 80%, improving operational efficiency. Why Hire Me: Strategic Problem-Solver: I don’t just code — I solve technical challenges aligned with your business goals. Senior Expertise: 15+ years building scalable, production-ready systems. AI + Engineering: Integrating AI into workflows for consistent, reliable results. Reliable Communication: Clear, proactive updates and milestone tracking. Call-to-Action: Let’s discuss your project and explore how I can help you scale your system, integrate AI, or stabilize complex applications. High-impact, production-ready solutions start here.

Highly skilled systems architect and developer with more than 40 years of experience designing, developing, deploying and integrating applications, from old single platform “green-screen” to multi-tier / distributed systems. Business experience in manufacturing, accounting, distributing, payroll, finance and TELCO: ✔ Strong knowledge of Java SE and JEE stacks, from early versions 1.x up to latest version SE 17 and JEE 10 including Spring and Spring Boot. ✔ Deep understanding of old technologies such COBOL, VSAM, JCL, IMS, DB2, IMS “green screen”, etc. This knowledge allowed me to design, code and implement integrations between new applications with legacy ones. ✔ Solid leading and mentoring skills to help and encourage individuals to maximize their productivity by applying the best practices, frameworks, libraries and technology in general. ✔ I'm always learning about new technologies and tools to ease and reduce time spent in application development and deployment. Technology by itself is worth nothing if it does not solve real world problems.

I'm a data scientist with a strong background in the fintech industry. I began my career as a data analyst at a tax software company, where I partnered with sales, accounting, and legal teams to support strategic decision-making. Currently, I lead the Risk and Underwriting data science team at a fintech firm, where I work with a variety of data tools and technologies. In my roles, I've worked extensively with SQL databases including Microsoft SQL Server, PostgreSQL, and Redshift, and I use Python daily for data analysis, machine learning, and streamlit apps. I also utilize N8N for building out AI Automations Outside of work, I co-run the Ryan & Matt Data Science YouTube channel, which has grown to 25,000 subscribers and draws more than 70,000 views per month. My mission on Upwork is to document the journey of building a data freelancing side hustle from the ground up.