I'm an experienced software engineer/consultant with over 11 years in the industry. I can help you build BI components and products. My expertise is in : - Building robust and scalable backend services and enterprise Java applications - Building geospatial maps and data visualization using Openlayers - Extensive experience with the TIBCO Jaspersoft BI product offering - Jaspersoft Studio, JasperReports Server and JETL (Talend ETL) - Building and embedding interactive reports, training customers, integrating and customizing JasperReports Server, configuring single sign-on and improving product performance. My core strengths include problem solving and analysis, attention to detail, code optimization and performance. Technologies: Server side - Java EE, Spring, Spring Security, REST, JSON, XML Client side - HTML/CSS, JavaScript, JQuery, Dojo, Node.js Development Environment - Jaspersoft Studio, Eclipse, IntelliJ Middleware - Tomcat, JBoss, Websphere Operating Systems - Ubuntu, Red Hat, MacOS Scripting - Python, Shell Database - MySQL, Oracle, DB2 Version control - Git I have worked directly with several multinationals, both onsite and remote, including IMF, Visa, Porsche, BNY Mellon, ING Bank, Autodesk, DXC, AON, Infosys and Micro Focus among many others.

A seasoned Data & AI Solution Architect with over 6 years of experience delivering cutting-edge solutions in GenAI, Machine Learning, and Advanced Analytics across diverse industries, including telecom, retail, automotive, finance, and energy. I specialize in designing and implementing end-to-end data-driven solutions leveraging platforms like Databricks, AWS, Azure, and GCP, ensuring scalability, efficiency, and business impact. Key Highlights - AI Expertise: Proven success in developing AI-powered solutions, including fine-tuning LLM models (e.g., Llama-3-8B), automating workflows, and creating recommendation engines that increase customer engagement and revenue. - Generative AI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. Built intelligent multi-agent workflows capable of orchestrating business processes, automating decision-making, and integrating seamlessly with enterprise ecosystems. - Agentic A & MCPI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. - Data Engineering Excellence: Proficient in building optimized data pipelines, transforming raw data into actionable insights, and implementing Delta Lakehouse architectures to reduce costs and improve operational efficiency. - Cloud Mastery: Extensive hands-on experience in cloud environments (AWS, Azure, GCP) for deploying scalable infrastructure and integrating cloud-native AI/ML solutions. - Databricks Expertise: A Databricks-certified professional with deep expertise in Unified Analytics, Delta Live Tables, and enabling AI-driven efficiencies for large-scale enterprises. - Business Impact: Delivered measurable results, such as reducing incident handling time by 90%, increasing app engagement by 150%, and optimizing production assembly lines across 40+ plants. Certifications & Recognition - Databricks Certified (Data Engineer Professional, Machine Learning Associate, Spark Developer). - AWS Community Builder for the past 2 years, showcasing expertise and active contributions to the AI and cloud community. - 25+ certifications from Coursera in Data Science, AI, and Cloud Computing. What I Bring to the Table - A client-centric approach with a knack for understanding business challenges and aligning technical solutions to meet organizational goals. - A proven track record of leadership, having led teams of data scientists and engineers to deliver impactful projects across geographies. - Expertise in designing AI-driven systems for personalization, predictive analytics, and automation, enhancing customer experiences and driving growth.

"They delivered solid full-stack + AI development responsibly, which saved both time and cost. We launched the MVP quickly." I build AI-powered SaaS apps, full-stack platforms, and CRM automations using React, Next.js, Python, and Node.js. Problems I solve: → You need an AI-powered SaaS MVP but your last developer took 6 months and delivered nothing. I ship MVPs in 6-8 weeks using React, Next.js, Supabase, and OpenAI/Claude APIs. One client wrote: "We launched the MVP quickly, saved both time and cost." → Your CRM is a mess. Workflows are broken, leads are leaking, nothing talks to each other. I rebuild it properly. Last month I migrated 70k contacts from HubSpot to GoHighLevel and rebuilt the entire automation workflow from scratch. → You have a complex API integration that keeps breaking. Stripe, third-party REST/GraphQL, webhook chains. I build integrations that actually hold up in production. → You need a mobile + web app from one codebase. React Native + Expo, shared business logic, deployed to iOS and Android. I use AI-assisted dev tools (Claude Code, Cursor) to compress timelines 60-80%. You get startup speed with senior-level architecture, every line reviewed, tested, and structured by hand. Stack: React · Next.js · Node.js · TypeScript · Supabase · PostgreSQL · Python · FastAPI · Tailwind CSS · Stripe · Firebase · AWS · GoHighLevel · HubSpot · OpenAI API 𝗣𝗲𝗼𝗽𝗹𝗲 𝘂𝘀𝗲 𝘁𝗵𝗲𝘀𝗲 𝗸𝗲𝘆𝘄𝗼𝗿𝗱𝘀 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗺𝗲 ───────────────────────────── React | Next.js | Node.js | NestJS | Flutter | React Native | Solidity | Python | FastAPI | MongoDB | Firebase | PostgreSQL | REST API | GraphQL | WebSockets | OpenAI API | LangChain | RAG Pipeline | XRPL | Smart Contracts | ERC-20 | ERC-721 | ERC-4626 | WalletConnect | Web3.js | Ethers.js ───────────────────────────── SaaS | DeFi | HealthTech | FinTech | EdTech | PropTech | AgriTech | Web3 | NFT Marketplace | RWA Tokenization | Crypto Wallet | DEX | DAO Governance | Real Estate Tech | AI Startup ───────────────────────────── MVP Development | Full-Stack Development | API Development | Smart Contract Development | Mobile App Development | AI Integration | LLM Integration | Blockchain Development | Token Launch | Product Architecture | SaaS Build | End-to-End Delivery ───────────────────────────── AI | Web3 | Blockchain | LLM | GPT | Machine Learning | Automation | DeFi | NFT | Tokenization | OpenAI | Claude API | Agentic AI | No-Code AI | Prompt Engineering

⭐⭐⭐⭐⭐ Senior AI Engineer | Production 𝐑𝐀𝐆, 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 | 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐀𝐖𝐒, 𝐂𝐥𝐚𝐮𝐝𝐞 I'm a AI Systems Engineer and Senior Python Backend Engineer with 8+ years of backend development experience, specializing in LangGraph, advanced multi-agent workflows, and production-grade Agentic RAG. I help business unlock the value of their private data by building custom AI systems that are accurate, secure, resilient, and production-ready. Unlike generic ChatGPT wrappers, my solutions ground frontier LLMs like Anthropic Claude and OpenAI in your own documents and databases - eliminating hallucinations, enabling complex agentic reasoning, and ensuring answers are traceable to source material. I've delivered robust RAG pipelines for legal tech, healthcare, e-commerce, and internal enterprise knowledge bases. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 - 𝐄𝐧𝐝‑𝐭𝐨‑𝐄𝐧𝐝 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 ➤ Core stack: Python + LangGraph / LangChain / LlamaIndex + Vector DB (Pinecone, ChromaDB, FAISS) + OpenAI / Claude + AWS (Bedrock, Lambda, S3, ECS) ➤ Typical project scope includes: ○ Multi-Agent Workflows: Build complex, stateful, and cyclical LLM applications using LangGraph for advanced decision-making and tool use. ○ Ingestion pipeline: Parse PDFs, Word docs, HTML, markdown, Slack exports, Confluence, Notion, or database dumps. ○ Smart chunking & embedding: Semantic chunking, overlap strategies, and embedding with text-embedding-3, Cohere, or open‑source BGE models. ○ Hybrid retrieval: Combine vector similarity (dense) with BM25 keyword search (sparse) + cross‑encoder re‑ranking for maximum precision. ○ Generation with source grounding: Prompt engineering to force citations, confidence scores, or fallback responses when data is insufficient. ○ Conversational memory: Chat history summarization, session management, and multi‑turn RAG for assistants that remember context. ○ Caching & optimization: Semantic caching (GPTCache), embedding caching, and async retrieval to reduce latency and token costs. ○ Evaluation & observability: RAGAS, TruLens, or custom metrics - context relevancy, answer faithfulness, recall, and latency tracking. 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫 e & 𝐀𝐖𝐒 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 - 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐚𝐝𝐲 ➤ I don't just write scripts - I build secure, scalable, serverless or containerized backends. Every AI system I deliver is: ○ Containerized with Docker - Reproducible environments. ○ Deployed on AWS - Using API Gateway + Lambda (serverless inference), ECS/Fargate (for long‑running jobs), S3 (document storage), RDS/DynamoDB (metadata), and Bedrock (for enterprise-grade cloud LLMs like Claude). ○ Secure by design - API keys managed via Secrets Manager, IAM roles, VPC isolation, and rate limiting. ○ CI/CD ready - GitHub Actions or GitLab CI for automated testing and deployment. ○ Monitored - CloudWatch logs, X‑Ray tracing, and custom dashboards for usage, latency, and cost tracking. ➤ Example architectures I've delivered: ○ Agentic Customer Support System - Built with LangGraph, utilizing custom tool-calling for CRM integration and automated ticket resolution. ○ Chat‑over‑PDFs for a law firm - 10,000+ documents, sub‑second retrieval, Claude 3.5 Sonnet + Pinecone serverless on AWS Lambda. ○ Semantic product search for an e‑commerce store - hybrid search (FAISS + BM25) with re‑ranking, deployed on ECS. ○ Internal company FAQ bot - Slack‑integrated, using ChromaDB and OpenAI, with conversation memory and admin feedback loop. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐓𝐨𝐨𝐥𝐛𝐨𝐱 (𝐧𝐨 𝐭𝐚𝐛𝐥𝐞𝐬 - 𝐜𝐥𝐞𝐚𝐧 𝐥𝐢𝐬𝐭𝐬) ○ Languages & Frameworks: Python (advanced) | TypeScript (basic) | FastAPI | Django REST | Flask | GraphQL ○ LLM & RAG Frameworks: LangGraph | LangChain | LlamaIndex ○ Vector Databases: Pinecone | ChromaDB | FAISS | Qdrant | Weaviate | Milvus ○ LLM Providers & Models: Anthropic Claude | OpenAI | Google Gemini | Groq | Together.ai | LLaMA 3 | Mistral | Mixtral | Zephyr (via Ollama, vLLM, HuggingFace) ○ Embedding Models: OpenAI Ada | text‑embedding‑3‑small/large | Cohere | Voyage | BGE | Instructor ○ AWS Services (primary cloud): Lambda | API Gateway | ECS/Fargate | S3 | Bedrock | RDS (PostgreSQL with pgvector) | DynamoDB | Secrets Manager | CloudFront | CloudWatch ○ Other Cloud Options: Google Cloud (Vertex AI, Cloud Run) | Azure (AI Search, OpenAI) ○ Databases & Caching: PostgreSQL (pgvector) | DynamoDB | Redis | GPTCache ○ DevOps & Testing: Docker | GitHub Actions | Terraform (basic) | pytest | RAGAS | TruLens | DeepEval | LangSmith ○ UI for Demos: Streamlit | Gradio | Chainlit 𝐋𝐞𝐭'𝐬 𝐖𝐨𝐫𝐤 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 If you need a reliable, backend-first, AWS‑savvy AI Systems Engineer who writes clean Python and delivers real business value, let's talk.

I’m a Full Stack GIS and Remote Sensing professional with 4+ years of experience designing, building, and operating production-grade geospatial systems. My work spans satellite imagery processing, spatial data engineering, and cloud-deployed Web-GIS platforms used in real operational and decision-making environments. I have hands-on experience working with Sentinel and Landsat data, spatial ETL pipelines, PostGIS-based systems, and dynamic raster services. I regularly handle large raster and vector datasets, applying correct preprocessing, optimization, and visualization techniques to deliver outputs that are both technically accurate and visually clear, including publication-ready imagery. Professionally, I’ve contributed to UNDP’s GeoHub, a global, open-source geospatial platform supporting SDG analytics and policy decision-making. My role involved backend GIS development, spatial data pipelines, cloud processing, and integration of raster services into scalable web applications. I’m comfortable working end-to-end across GIS, backend APIs, and infrastructure, and I value clean design, performance, and reliability. I work well in distributed teams, communicate clearly with both technical and non-technical stakeholders, and deliver dependable results under real-world constraints.

I'm a Geospatial Engineer with 10+ years of experience in web development and spatial technologies, working both in full-time positions and as a freelancer. I specialize in frontend development, particularly for mapping and location-based applications, but I'm also highly capable of handling backend development and non-geospatial projects. I have worked with renowned companies such as Esri and Dotgis—at Dotgis, I co-led frontend development for several key projects, shaping both their current and upcoming solutions. As a freelancer, I have had several clients over the years. Also, I have done other jobs outside of the upwork platform, so not all of them are in my upwork portfolio. Currently, I work with GeoInsight, but I'm open to new opportunities and collaborations. Core Expertise Frontend Development: Expert in JavaScript and React.js, with deep experience building responsive, performant, and interactive web mapping applications. I'm also fully capable of developing non-mapping web apps using vanilla JS and modern frameworks like Next.js. Backend Development: Proficient in building RESTful APIs using Node.js and Rust, with a strong understanding of backend architecture, performance, and deployment. Geospatial Technologies: Strong background in GIS software (ArcGIS, QGIS), remote sensing, spatial databases (PostgreSQL/PostGIS), and various mapping libraries (Mapbox, Leaflet, OpenLayers, Deck.gl, ArcGIS JS API, Google Maps API). I have excellent skills in processing and analyzing location-based and satellite data.. Technologies & Tools Languages: JavaScript, HTML/CSS, SQL, Rust, Python Databases: PostgreSQL/PostGIS, Duck.db Frameworks & Libraries: React.js, Next.js, Mapbox GL, Deck.gl, Leaflet, OpenLayers, ArcGIS API for JavaScript, Google Maps API Tools & Platforms: Docker, Git, Webpack, Node.js, REST APIs, unit/integration testing, git, CI/CD deployment Why Work With Me I'm a versatile developer with a solid blend of geospatial knowledge and modern web development expertise. I'm highly motivated, work well under pressure, and am committed to delivering high-quality, scalable, and efficient solutions. Whether you're building a custom mapping tool, a data visualization platform, or a full-stack web app, I bring both technical depth and domain insight to the table. If you're looking for someone who understands both code and location data, I bring the best of both worlds: full-stack web development + deep geospatial expertise. Let’s work together to bring your project to life!

Most developers tell you they can build a SaaS platform. I'll show you one I built. Touchy.ai is a live AI character SaaS with GPT-4 integration, voice calls, image generation, and paying subscribers. Traphyc is a multi-tenant marketing platform handling 100+ business accounts. Simply Smart Training is an AI-powered LMS with FastAPI backend and sales roleplay simulations. SIMTAKA and Stuva are government platforms managing 1000+ users each with real-time workflows and GIS systems. I specialize in the phase when growing SaaS and marketplaces need intelligent backend layers without rewriting what works: AI agents that understand your data, multi-tenant architecture that scales, real-time features that feel instant. SaaS Platform Building - Multi-tenant architecture - isolated customer data, shared infrastructure - Real-time systems - Redis, WebSocket, live dashboards (handled 50k+ concurrent users) - Payment & billing - subscription tiers, invoice automation, churn prevention - Complex workflows - multi-step approvals, state machines, audit trails - Enterprise reliability - performance tuning, monitoring, graceful scaling AI Integration - GPT-4 / Claude agents - autonomous workflows, long-term memory, context awareness - RAG pipelines - semantic search over your data - Image generation & voice synthesis - AI-generated content at scale - Cost-optimized prompts - better results, lower inference spend - Seamless integration - AI features feel native, not bolted-on Technical Stack - Laravel (full-stack) - Filament admin, authentication, APIs, jobs, caching - Python / FastAPI - async backends for AI workloads, data pipelines, high throughput - PostgreSQL / MySQL - query optimization, schema design for analytics - Frontend: Vue 3, Inertia.js, Tailwind, real-time UI How I Work 1. Discovery - I spend 1–2 days understanding your codebase, architecture, constraints. You get a scope doc. 2. Build - I ship features in your stack. Code is documented, tested, maintainable. 3. Handoff - You own every piece. No mystery code, no vendor lock-in. Available for fixed-price projects (preferred for clear scope) and hourly retainers (for ongoing development). Willing to start with a smaller scope to verify fit. I build platforms people use. Let's ship the next phase of yours.

Hi, I'm Ram Python Backend Engineer with 3+ years of professional experience building scalable systems across telecom, geospatial, and disaster-risk domains. Currently at NAXA Pvt. Ltd., where I've shipped production-grade national weather forecast systems used by the Department of Hydrology & Meteorology. Previously at KrispCall (YC-backed), where I designed VoIP microservices serving 10,000+ concurrent users, integrated 6+ CRM platforms, and built event-driven pipelines with 99.9% uptime. I'm also leading the software development of Nepal's first open-source humanoid robot at HTP Lab. When I'm not building APIs, I'm exploring the mountains of Nepal or writing poetry — believing that code and art are both ways of making something meaningful out of nothing.

I am a GIS and Data Science freelancer with over 18 years of experience. I am proficient in ArcGIS, Tableau, SQL, Python, Google Looker Studio, BlueBeam, MS Excel, Photoshop, and Sketchup. I have a strong understanding of geospatial data and have experience in a variety of industries, including construction, real estate, engineering, and the military. I am passionate about using GIS and data science to solve real-world problems and help clients save time and money. Skills: -GIS -Data Science -ArcGIS (ArcPro) -QGIS -Tableau -PostgreSQL and PostGIS -Python -Google Data Studio -Bluebeam -MS Excel -Photoshop -Sketchup Experience: -Tableau Developer for clean energy fin-tech company offering loans for commercial solar development projects. -Project Manager and Estimator in the construction industry (8 years) -Geospatial Analyst in the U.S. Army (5 years) Personal Interests: -Hiking -Camping -Travel Why I'm a Good Fit for Your Project: I am a highly skilled and experienced GIS and Data Science freelancer with a proven track record of success. I am passionate about using my skills to help clients solve real-world problems and save time and money. I am confident that I can be a valuable asset to your team. I would be happy to discuss your project in more detail. Please feel free to contact me.

With 4+ years of experience as a Full Stack GIS Developer and Flutter App Developer, I build solutions that save time, improve decisions, and engage users.I help businesses, NGOs, and research teams turn complex geospatial ideas into problem solving gis based web application and mobile applications. What I Deliver Interactive Web Maps & GIS Dashboards – Mapbox GL JS, Leaflet, React, OpenLayers Full-Stack Mobile Apps – Flutter (iOS/Android), Firebase, REST API integration Spatial Data Processing & GIS Automation – PostGIS, Python (GDAL, GeoPandas), ArcGIS/QGIS Backend & API Development – Node.js, Express, PostgreSQL/PostGIS, GeoServer Advanced Features – offline maps, push notifications, QR scanning, geocoding, charts Clear Cartography – thematic mapping, export-ready PDF maps