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✅ Top Rated Plus | 100% JSS | 4x Certified (AWS SA Pro, GCP Pro Architect, Snowflake) | BITS Pilani MTech Data Science | Full Stack Developer & Data Engineer | React, Python, Node.js, Spark | $20K+ earned | 1,845+ hours I build full-stack web applications and data engineering systems that go to production, not to demo day. SaaS MVPs, Spark-based ETL pipelines, cloud architecture on AWS and GCP, I handle both the application layer and the data infrastructure behind it. 🔹 Full-Stack SaaS & Web Application Development React, Next.js, Node.js, and Python backends for SaaS platforms, dashboards, internal tools, and customer-facing apps. MVP to production on AWS/GCP with CI/CD, automated testing, and monitoring from day one. 19 Upwork contracts delivered with structured milestones. 🔹 Data Engineering & ETL Pipeline Architecture End-to-end data pipeline design with Apache Spark, PySpark, Scala, Snowflake, and Airflow. Batch and streaming ETL processing millions of records per run. Data lake architecture, warehouse modeling, analytics-ready output layers. 8+ years building production Spark + Cassandra systems at enterprise scale. 🔹 Cloud Architecture & Infrastructure (AWS + GCP) 4 cloud architecture projects on Upwork, all rated 5.0. $2,300 CloudStack design. AWS architecture advisory. EC2, Lambda, S3, RDS, EMR, Redshift on AWS. BigQuery, Dataflow, Cloud Functions on GCP. Terraform for IaC, Docker and Kubernetes for orchestration, zero-downtime deployments. 🔹 API Development & Backend Systems REST API and GraphQL backends with Node.js, NestJS, FastAPI, and Django. Microservices, Redis caching, WebSocket integrations, Stripe payment APIs, OAuth/JWT authentication. Backend services handling concurrent users at production scale. 🔹 Database Design & Data Modeling PostgreSQL, MongoDB, MySQL, Cassandra, DynamoDB, Redis. Schema design, query tuning, indexing, partitioning. Star and snowflake schemas, slowly changing dimensions, SQL optimization for analytics. Architecture decisions balancing performance, throughput, and cost. 🔹 AI Integration & Intelligent Applications OpenAI API, Hugging Face, NLP pipelines, chatbot systems, text extraction and summarization. Delivered NLP processing on Upwork. AI-powered features built into SaaS products as production features, not standalone experiments. 🔹 Real-Time Processing & Event-Driven Systems Kafka for event-driven architectures, change data capture, WebSocket dashboards, streaming pipelines for near-real-time analytics. Application events connected to data warehouse layers. 🔹 Frontend Performance & TypeScript Engineering React and Next.js with SSR/SSG for SEO-friendly rendering. TypeScript full stack. Core Web Vitals optimization, Tailwind CSS, responsive design. Fast-loading frontends that rank and convert. 🔹 DevOps, CI/CD & Production Systems Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI. Serverless with AWS Lambda and GCP Cloud Functions. Monitoring, logging, alerting for production. Zero-downtime deployment strategies. 🔹 Technical Consulting & Architecture Advisory TypeScript and AWS Lambda tutor on Upwork, rated 5.0 over 13 hours. Cloud migration advisory, system design review, code audits, performance optimization, engineering mentorship. 📊 AWS Solutions Architect Professional + Associate (Dec 2026) | GCP Pro Cloud Architect (Jul 2026) | Snowflake Core (Jan 2026) 📊 MTech Data Science, BITS Pilani, ranked top 5 engineering institutions in India 📊 19 contracts, 100% JSS, Top Rated Plus, 1,845+ hours tracked, $20K+ earned 📊 "Jay's expertise brought the architecture design to life in ways I hadn't imagined" (5.0 rated) 📊 8+ years: React, Node.js, Python, Java, Scala across SaaS, healthcare, fintech, enterprise → Day 1: Requirements call + architecture proposal with tech stack rationale → Week 1: Sprint development, daily Loom/Slack updates, working code shipped → Ongoing: Weekly demos, priority reviews, transparent tracking, full documentation → Delivery: Documented code, CI/CD configured, deployment guide, 2-week post-launch support Full Stack: React, Next.js, Node.js, NestJS, Express, TypeScript, JavaScript, Python, FastAPI, Django Data: Apache Spark, PySpark, Scala, Snowflake, Airflow, Kafka, ETL, dbt, SQL, BigQuery Cloud: AWS (Lambda, EC2, S3, RDS, EMR, Redshift), GCP (BigQuery, Dataflow), Docker, Kubernetes, Terraform DB: PostgreSQL, MongoDB, MySQL, Redis, Cassandra, DynamoDB, Supabase AI: OpenAI API, Hugging Face, NLP, LLM Integration, TensorFlow, PyTorch 💬 Message me with your project scope or data challenge. I respond within 4 hours with a free assessment and can start within 48 hours.

Hi, I’m Rohit Mathur, a Senior DevSecOps Engineer and Cloud Architect trusted by startups and enterprises to build cloud-native, secure, and high-performance infrastructure. I design scalable, compliance-ready systems that handle real-world load — from early-stage startups to enterprise platforms processing millions of users and 100M+ API requests. I also specialize in AI/ML infrastructure, including NVIDIA GPU workloads, CUDA, Kubeflow, and production-grade inference pipelines, helping teams run ML systems reliably at scale. ✅ WHAT I DO (Quick Scan) • Cloud Architecture — AWS, Azure, GCP, Oracle • Infrastructure as Code — Terraform, CloudFormation, Ansible • Kubernetes at scale — EKS, AKS, GKE, OpenShift • CI/CD & automation — GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins, ArgoCD, Harness • DevSecOps & security — SonarQube, SAST, DAST, IaC scanning • Compliance frameworks — SOC2, HIPAA, PCI-DSS, GDPR • High-traffic systems — SaaS, CPaaS, FinTech, Blockchain • AI / ML & GPU workloads — NVIDIA, CUDA, vLLM, Kubeflow, MLflow 🏭 INDUSTRIES I’VE WORKED IN • Startups (early-stage to scale-up) • Enterprise platforms • Banking & FinTech (secure, compliant systems) • Healthcare (HIPAA-aligned infrastructure) • Government & regulated environments • CPaaS / Telecom (high-volume traffic) • AI / ML platforms • Blockchain & Web3 📈 SCALE & IMPACT • Designed and operated 100+ SaaS & enterprise infrastructures • CPaaS platforms handling 100M+ API requests per month • Blockchain platforms serving 1M+ users • Production AI systems with GPU-backed inference at scale 🤝 HOW I WORK I work directly with CTOs, founders, and engineering leaders. I don’t just “set things up.” I take ownership of infrastructure, focusing on: • Stability and performance • Security and compliance • Cost control and FinOps • Scalability under real traffic • Long-term maintainability 📩 LET’S TALK Send me: • Your cloud provider • Your current scaling, security, or compliance challenge I’ll tell you exactly how I’d approach it — clearly and honestly.

✅ Solution Architect | Full-Stack | DevOps | Cloud | AI/ML | LLM Apps | IoT Hi, I’m Niladri — a Solution Architect and Full-Stack Developer with 15+ years of experience helping startups, SaaS companies, and enterprises design, build, automate, and scale secure, production-ready software systems. Clients hire me when they need more than a coder. They need someone who can understand the business goal, design the right architecture, build the product, automate infrastructure, integrate AI where it adds value, and keep the system scalable, maintainable, and cost-efficient. I can work as a senior engineer, architect, DevOps consultant, technical lead, or long-term technology partner. 📊 Skill Ratings DevOps & Cloud Architecture – ▓▓▓▓▓▓▓▓▓▒ 9.5/10 Solution Architecture – ▓▓▓▓▓▓▓▓▓▒ 9.5/10 Backend & API Engineering – ▓▓▓▓▓▓▓▓▓░ 9/10 AI/ML & LLM Integration – ▓▓▓▓▓▓▓▓░░ 8/10 IoT & Embedded Electronics – ▓▓▓▓▓▓▓▓░░ 8/10 Frontend Development – ▓▓▓▓▓▓▓░░░ 7/10 Mobile App Development – ▓▓▓▓▓▓▓░░░ 7/10 🚀 What I Can Help You With ☁️ Cloud, DevOps & Platform Engineering I design and deploy cloud-native infrastructure using AWS, Google Cloud, Azure, DigitalOcean, Heroku, and hybrid/on-premise systems. AWS: EC2, S3, RDS, Lambda, ECS, EKS, Fargate, DynamoDB, CloudFront, Route 53 GCP: Cloud Run, GKE, Firebase, Cloud SQL, BigQuery, Pub/Sub, AI APIs Azure: Functions, App Services, PostgreSQL, DevOps, cloud migration Core DevOps: Docker, Kubernetes, Helm, Terraform, CI/CD, GitHub Actions, GitLab, Jenkins, Bitbucket Pipelines, monitoring, backups, security hardening, high availability, and cost optimization. 🤖 AI/ML, LLM Apps & Automation I help businesses integrate AI into real products and workflows: LLM applications, OpenAI/AWS AI/Google AI integrations, RAG knowledge-base systems, AI chatbots, document processing, vector search with PostgreSQL/pgvector, recommendation engines, predictive analytics, and workflow automation. My focus is not just adding AI features — I design AI systems that are useful, secure, measurable, and practical. 💻 Full-Stack Web Development I build scalable web applications with clean architecture and maintainable code. Backend: Node.js, NestJS, Express, TypeScript, Python, Django, Flask, FastAPI, Java/Spring Boot Frontend: React.js, Next.js, Vue.js, Angular, admin dashboards, SaaS portals Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, MariaDB, MS SQL I focus on API performance, database design, authentication, authorization, security, testing, and maintainability. 🔗 API Development & SaaS Integrations I build APIs, webhooks, integration layers, and event-driven systems. Experience includes Amazon MWS/SP API/Ads API, QuickBooks Online/Desktop, Xero, FreshBooks, HubSpot, Salesforce, Zoho, Zendesk, Stripe, Twilio, Slack, Asana, REST, GraphQL, Webhooks, Microservices, and Event-driven Architecture. 📱 Mobile App Development React Native, Flutter, and PWAs with real-time chat, push notifications, payments, GPS tracking, offline sync, dashboards, and cloud backend integration. 🌐 IoT & Embedded Systems Embedded Linux, Buildroot, Arduino, ESP, Raspberry Pi, RTOS, FPGA, Petalinux, RFSoC, ZCU111, XRF8, I2C, SPI, UART, TCP, MQTT, sensor integration, and firmware-to-cloud-to-dashboard platforms. 🧠 Technical Leadership I support teams with architecture, cloud review, code/PR review, CI/CD setup, security planning, database/API design, bottleneck resolution, team grooming, scalability planning, and engineering best practices. 🌟 Why Clients Hire Me ✔️ 15+ years of hands-on software, cloud, DevOps, AI, and IoT experience ✔️ Strong mix of architecture, development, automation, and technical leadership ✔️ Ability to work independently or lead a technical team ✔️ Experience with SaaS, fintech, e-commerce, AI, cloud, API integrations, and IoT systems ✔️ Practical mindset: I design systems that can be built, deployed, scaled, and supported ✔️ Strong focus on clean code, security, documentation, automation, and maintainability I don’t just deliver code — I help you build a reliable product, scalable platform, and stronger technical foundation. ⭐ Client Feedback “Nil headed up a full backend solution including RESTful API and AWS cloud setup. He is knowledgeable, understands your needs, and delivers creative, high-quality solutions.” — Douglas Stirling “Nil is an excellent developer — quick to grasp requirements, easy to communicate with, and always delivers well-tested, first-class work.” — Sat Sindhar “Niladri is a highly experienced full-stack programmer with thorough knowledge across technologies. I am extremely satisfied with his services.” — Vishal Agarwal “Niladri is the best at what he does. Very easy to communicate with, delivers flawless work, and provides great support after the job is done.” — Muzaffer Selimbeyoglu 📌 Background Degree in Computer Science CCNA | RHCE Diploma in Computer Hardware & Electronics GitHub Portfolio: fuzonmedia

Are you looking for an AI-powered DevOps / SRE engineer who doesn't just maintain infrastructure - but makes it smarter, self-healing, and cost-optimized? You're in the right place. With 10+ years of hands-on experience in Site Reliability Engineering and DevOps, I have evolved my practice by integrating AI and automation at every layer of the stack. From building MCP (Model Context Protocol) servers that let AI agents manage AWS & Azure resources, to deploying intelligent log monitoring and cost analysis pipelines - I bring a modern, AI-first approach to infrastructure engineering. What Sets Me Apart: AI-Enhanced DevOps I don't just use traditional DevOps tools - I augment them with AI to deliver faster results and deeper insights: MCP Servers for Cloud Automation: I build and deploy Model Context Protocol (MCP) servers that allow AI agents to directly interact with AWS & Azure APIs - automating provisioning, auditing, incident response, and resource management through natural language workflows. Fine-Grained Cloud Auditing & Deep Cost Analysis: AI-driven scripts that continuously scan your cloud accounts, flag unused resources, detect anomalous spending patterns, and generate actionable cost-optimization reports - saving clients 20-40% on monthly cloud bills. AI-Powered Python Automation: Custom Python scripts powered by LLMs that replace tedious manual processes - from auto-generating Terraform modules to intelligent config drift detection and remediation. AI-Powered Log Monitoring & Anomaly Detection: Intelligent observability pipelines that go beyond static thresholds - using AI to detect patterns, predict outages, auto-classify errors, and surface root-cause insights from logs (Loki, ELK, CloudWatch). Helm & Kubernetes with AI Agents: AI-assisted cluster management using agents that monitor pod health, auto-scale workloads, optimize Helm chart configurations, and provide natural-language troubleshooting for K8s issues. Core Technical Skills: 1. Cloud Platforms: AWS (Primary), Azure, Google Cloud, Digital Ocean 2. Databases: RDS, DynamoDB, MongoDB, PostgreSQL 3. IaC & CI/CD: Terraform, Ansible, CloudFormation, GitHub Actions, GitLab CI, Azure DevOps, Jenkins 4. Containers: Docker, ECS Fargate, EKS, Kubernetes, Helm 5. Observability: Grafana, Prometheus, OpenTelemetry, CloudWatch, X-Ray, Loki, ELK, New Relic 6. AI Tooling: MCP Servers, AI-powered Python scripts, LLM-integrated workflows, AI agents for K8s 7. Web/Infra: Nginx, Apache, ALB/NLB, Proxmox, KVM Certifications: AWS Certified Solutions Architect – Associate AWS Certified SysOps Administrator – Associate When you work with me, you get: Fast responses - I value your time Clear communication - structured milestones AI-first mindset - faster, smarter, more cost-effective solutions If any of the above sounds like what you need, let's connect!

I am a Senior Software Engineer with expertise in Data Science and Data Engineering with over 6 years of experience specializing in the "system choreography" required to build resilient, autonomous, data-driven platforms. My expertise lies at the intersection of high-concurrency backend architecture and production-grade AI integration, helping enterprises move from static data models to reactive, agentic systems that handle millions of requests with sub-100ms latency. I architect data-driven backends that are not just scalable, but "intelligent by design." By combining serverless-first infrastructure with advanced retrieval patterns, I ensure your AI solutions are faithful, verifiable, and cost-optimized for the current cloud landscape. SERVICES ▻ Machine Learning & AI Engineering: Building Agentic RAG pipelines and autonomous workflows using LangGraph and LLM orchestration, as well as production-grade Regression/Classification models. ▻ Data Engineering & Streaming: Designing real-time, event-driven pipelines, Change Data Capture (CDC) architectures, and data lakes for high-throughput enterprise systems. ▻ High-Concurrency Backend: Developing async-first APIs and distributed microservices that prioritize fault tolerance, peak-load performance, and low-latency execution. ▻ Cloud Infrastructure & DevOps: Provisioning serverless-first, "Zero-Trust" environments on AWS and Azure using Infrastructure as Code (IaC) to ensure rapid, secure deployments. ▻ System Evaluation & LLMOps: Implementing RAGAS, continuous evaluation frameworks, and robust observability stacks (OpenTelemetry, Prometheus) to guarantee production reliability. TECHNOLOGY AND STACK ⚙️ Core languages - Python, C++, Java ⚙️ Backend & APIs: FastAPI, Django, Spring Boot ⚙️ Data & Big Data - Apache Airflow, Kafka, Snowflake, Databricks, DBT, AWS Glue ⚙️ SQL/NoSQL & Vector DBs: MySQL, PostgreSQL, Google BigQuery, MongoDB, DynamoDB, Redis, ChromaDB / Pinecone / Milvus (Caps lock/Add your preferred Vector DB) ⚙️ Data Analysis and Machine Learning: Pandas, NumPy, Dask, SciPy, OpenCV, TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras, spaCy, LangChain, LangGraph ⚙️ Cloud & DevOps - AWS (EC2, EMR, S3, Lambda, Redshift, Kinesis, SageMaker, StepFunctions), Azure (Functions, Durable Functions), GCP (Pub/Sub, Cloud Run), Terraform / CloudFormation I advocate for a "Modular Monolith First" approach, leveraging Domain-Driven Design (DDD) to ensure clean service boundaries are established before executing full microservice decomposition. Let’s discuss how I can bring architectural excellence, cost optimization, and intelligent automation to your next project.

⭐️ 8+ Years in Software Engineering (Golang, Python) ⭐️ Hands-on LLM/ChatGPT/RAG product development and large-scale ML hosting on AWS ECS/CDK ⭐️ Backend for global platforms serving 3M+ users/day ⭐️ CKAD, AWS Solutions Architect – Associate & AWS DevOps Engineer – Professional certified ⭐️ Strong background in microservices, cloud-native systems & real-time data pipelines ⭐️ High-impact Upwork client results with consistent 5.0 ratings 🧑‍💻 Back-End Engineering (Golang, Python) ☑️ REST, gRPC, GraphQL API design ☑️ Go frameworks: Gin, Echo, Revel, Martini, Gorilla ☑️ ORM: Gorm, go-pg | Testing: GoMega, Ginkgo, go-mock ☑️ Concurrency: goroutines, channels, worker pools ☑️ Dependency Injection: go-wire ☑️ Structured logging: zap, zerolog, logrus ☑️ GolangCI-lint contributor – deep attention to clean code and linting 🧑‍💻 Cloud & Infrastructure ☑️ AWS: Lambda, ECS, RDS, DynamoDB, S3, API Gateway, Secrets Manager, CDK ☑️ GCP: Cloud Run (standalone & GKE), Firestore, Pub/Sub ☑️ Infrastructure as Code: Terraform, Ansible ☑️ Docker, Kubernetes (CKAD), Helm ☑️ CI/CD: GitHub Actions, Jenkins, Bitbucket Pipelines 🧑‍💻 Databases & Caching ☑️ PostgreSQL, MySQL, MongoDB, DynamoDB, Firestore ☑️ Redis, Memcached, Key-vault ☑️ Neo4j (graph db), Elasticsearch (search & analytics) 🧑‍💻 DevOps, Observability, Streaming ☑️ RabbitMQ, Apache Kafka, Apache Schema Registry ☑️ Prometheus, Grafana, Datadog, AWS CloudWatch ☑️ Log pipelines: ELK (Elasticsearch, Logstash, Kibana), Filebeat 🧑‍💻 AI / GenAI / LLM Work ☑️ LangChain, ChatGPT, Retrieval-Augmented Generation (RAG) ☑️ Slack-JIRA LLM assistant (LangChain + Python + ChromaDB) ☑️ TruthWatch: Real-time YouTube AI content audit web app ☑️ Amazon-scale LLM hosting & PDP localization pipeline ☑️ Prompt engineering, LLM pipelines, context chaining 🛠 Blockchain & Decentralized Systems ☑️ Ethereum, Web3 API, ERC-20 Token Transfers ☑️ Cowswap DEX integration ☑️ Katzenpost Mixnet-based Ethereum transaction privacy router ☑️ Secure wallet interaction, order book access, token tracking