Hire the Best ETL Developers

I build and migrate enterprise data platforms on 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, 𝐀𝐖𝐒, and modern AI infrastructure, turning fragmented data sources into reliable warehouses, intelligent automation systems, and production-ready AI applications that business teams can actually trust. Over the last decade I've architected data infrastructure, analytics platforms, and AI-powered systems for 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 (𝐘𝐥𝐨𝐩𝐨), 𝐓𝐞𝐥𝐞𝐜𝐨𝐦 (𝐎𝐨𝐫𝐞𝐝𝐨𝐨 𝐐𝐚𝐭𝐚𝐫), 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 (𝐒𝐢𝐦𝐩𝐥𝐞𝐝𝐂𝐚𝐫𝐝), 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 (𝐌𝐞𝐝𝐂𝐡𝐚𝐫𝐭), and 𝐑𝐞𝐭𝐚𝐢𝐥 (𝐌𝐢𝐥𝐥𝐢𝐨𝐧 𝐃𝐨𝐥𝐥𝐚𝐫 𝐁𝐚𝐛𝐲), integrating 700+ data sources into Snowflake, Redshift, Databricks Lakehouse, and AI-powered ecosystems that support thousands of daily users. → 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 • 𝐌𝐨𝐝𝐞𝐫𝐧 𝐃𝐚𝐭𝐚 𝐒𝐭𝐚𝐜𝐤 Snowflake + Databricks + dbt + Airflow + Fivetran + AWS Glue for scalable, testable, version-controlled ELT pipelines. • 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 Teradata, Oracle, SQL Server, Pentaho, Informatica → Snowflake, Redshift, Databricks, BigQuery. • 𝐄𝐓𝐋 / 𝐄𝐋𝐓 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 AWS Glue, Airflow, Informatica, Talend, Pentaho, Azure Data Factory, SSIS, Spark, PySpark. • 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞𝐬 & 𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞𝐬 Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog, Dimensional Modeling. • 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Predictive Analytics, Forecasting, Classification, Recommendation Systems, MLOps, MLflow, SageMaker, TensorFlow, PyTorch, Scikit-Learn. • 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP, AI Agents, Autonomous Workflows, Multi-Agent Systems. • 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vector Databases, Pinecone, Weaviate, Qdrant, ChromaDB, Supabase Vector, Enterprise Knowledge Bases, Semantic Search. • 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 Vapi, Retell AI, ElevenLabs, Twilio, Voice Agents, AI Call Centers, Lead Qualification Systems. • 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel, CRM Automation, Workflow Automation. • 𝐁𝐈 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 Power BI, Tableau, Sigma, Looker, Grafana, Executive Dashboards, Self-Service Analytics. • 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Great Expectations, dbt Tests, CI/CD, Data Validation Frameworks, Monitoring & Alerting. → 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Snowflake, Databricks, Redshift, BigQuery, Delta Lake, Unity Catalog 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: dbt, Airflow, AWS Glue, Informatica, Talend, Pentaho, Fivetran, Kafka, Spark, PySpark 𝐀𝐈 / 𝐋𝐋𝐌𝐬: OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen, MCP 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier, HubSpot, Salesforce, GoHighLevel 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, Weaviate, Qdrant, ChromaDB, pgvector, Supabase Vector 𝐂𝐥𝐨𝐮𝐝: AWS, Azure, GCP, Docker, Kubernetes, Terraform 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, PySpark, JavaScript, TypeScript, Java, C# 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, DynamoDB → 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 • Reduced enterprise ETL runtimes from 6+ hours to under 45 minutes through cloud-native data architectures. • Built Snowflake + dbt + Airflow ecosystems integrating 120+ data sources powering executive dashboards and AI-driven decision systems. • Delivered real-time MLS ingestion platforms processing data from 500+ providers and supporting AI-powered marketing systems. • Built AI voice agents capable of automated lead qualification, appointment booking, and customer engagement. • Developed RAG systems that transformed thousands of documents into searchable enterprise knowledge platforms. • Implemented AI workflow automation that reduced manual operations by up to 80% across sales, support, and operations teams. → 𝐈’𝐦 𝐀 𝐒𝐭𝐫𝐨𝐧𝐠 𝐅𝐢𝐭 𝐈𝐟 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 • Snowflake or Databricks implementation from scratch • Legacy ETL modernization and cloud migration • Data warehouse or lakehouse architecture • AI Agents and business process automation • RAG applications and enterprise knowledge systems • Voice AI solutions and conversational agents • n8n or Make workflow automation • Machine learning pipelines and MLOps • A senior data engineer or AI engineer to lead delivery and mentor internal teams 📩 Message me with a short description of your data stack, AI initiative, or business process challenge, and I'll provide a candid assessment of scope, architecture, timeline, and the best path forward.

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily. From real-time trading data to healthcare analytics 6+ years building production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My data engineering solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: • GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub • AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise data warehouse migration: Reduced ETL processing time 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability. KEY DATA ENGINEERING & ETL PROJECTS Election Data Pipeline - Python + Dagster data engineering solution extracting campaign finance data. Automated 40 hours/week of manual processing. Real-Time Trading Pipeline - Multi-layer data engineering architecture for algorithmic trading. Achieved <100ms latency, 100% uptime for streaming data. Healthcare Data Migration - Led enterprise ETL migration to GCP BigQuery. Result: 60% faster processing, 50% better performance. ML Feature Engineering - Built end-to-end data pipeline for AirAsia's recommendation system. Processed millions of records, increased engagement 25%. Web Scraping ETL - Automated data engineering solution combining scraping with warehousing using Python and Apache Airflow. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD. IDEAL PROJECTS • ETL pipeline development from scratch (Python, Airflow, cloud platforms) • Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) • Real-time data engineering and streaming ETL implementation • Legacy ETL modernization and data pipeline migration • Web scraping data engineering with ETL workflows • Data integration connecting multiple sources • ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

👋 I’m Jahanzaib, a Web Scraping & Data Extraction Specialist. I build fast, accurate, and scalable web scraping and data extraction solutions using Python, Scrapy, Selenium, Playwright, and automated workflows. I develop custom web crawlers and pipelines that eliminate manual work and provide reliable, structured, and actionable data for businesses. I also specialize in data mining, lead generation, and data scraping, and I can create Django dashboards to display and analyze your scraped data efficiently. ⭐ What I Deliver ✅ Clean, structured, and ready-to-use datasets from any website ✅ Automated web scraping and data extraction pipelines (daily/weekly) ✅ Accurate data mining and data scraping at scale with proxy rotation & anti-bot bypass ✅ Lead generation data including emails, contacts, listings, pricing, and market trends ✅ Reliable data entry and processing for large datasets ✅ Custom Django dashboards to visualize and manage scraped data ⚡ Technical Strengths ⚡ CAPTCHA solving & anti-bot mitigation (2Captcha, OCR, smart retries) ⚡ Proxy rotation: residential, datacenter, and mobile for large-scale web scraping ⚡ Login automation, session handling, and authenticated data extraction ⚡ Rate-limiting, headless browsers, and fault-tolerant web crawlers ⚡ CSV/Excel/API outputs and cloud automation for data scraping pipelines 🔹 What I Can Scrape 🔹 E-commerce platforms (products, prices, competitors) 🔹 Real estate websites (properties, listings, trends) 🔹 Automotive listings (leads, inventory, market research) 🔹 B2B directories & lead generation websites 🔹 Custom portals, dashboards, and structured data sources 🚀 Let’s Work Together I provide professional web scraping, data extraction, data mining, web crawlers, lead generation, and automated data scraping pipelines. I can also build Django dashboards to display your data in a clean and actionable format. Share your requirements, and I’ll deliver accurate, timely, and structured data that helps your business grow.

Architecting ecosystems where Humans, Apps, and AI Agents work in perfect harmony. 🎯 𝐓𝐨𝐩 6 𝐦𝐨𝐬𝐭 𝐝𝐞𝐦𝐚𝐧𝐝𝐞𝐝 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐕𝐞𝐫𝐭𝐢𝐜𝐚𝐥𝐬 𝐛𝐲 𝐦𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬: 🔹 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐒𝐚𝐥𝐞𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: Lead research, account prioritization, buying-signal detection, CRM enrichment, outreach personalization, and meeting generation workflows. 🔹 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Knowledge retrieval, ticket classification, automated resolutions, escalation workflows, CRM synchronization, and support optimization. 🔹 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 & 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: Invoice processing, data extraction, reconciliations, AP/AR workflows, financial reporting, and back-office automation. 🔹 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: SEO workflows, content generation, repurposing, campaign execution, publishing pipelines, and multi-channel content operations. 🔹 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭:Data integration, warehousing, modeling, dashboards, AI briefings, conversational analytics, anomaly detection, and automated alerts. 🔹 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Tailored agent ecosystems, workflow automation, multi-agent orchestration, and enterprise AI infrastructure built around your business processes. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅: 🔹 AI Agents: Open Claw, Hermes, Manus, Perplexity, Miro Fish, Axiom AI, Browse AI 🔹 AI Models / LLMs: Claude, GPT, Gemini, Gemma, Grok, Deepseek, Kimi, Qwen, Minimax, Llama 🔹 Code Agents: Claude Code, Codex, Antigravity, Cursor, Base44, Google Stitch, Google Jitro 🔹 Orchestration & Integration: Claude Managed Agents, Open AI Frontier, Paperclip, LangChain, CrewAI, AutoGen, Open AI Agent Builder, Llama Index, MCP, Microsoft Agent Framework, MCP Server 🔹 Automation: Make, n8n, Zapier, Python, Apps Script, Cloud Run, Bardeen, UiPath, Playwright, Power Automate, Google Opal 🔹Cloud & Deployment: Google Cloud Platform, Railway, Vercel 🔹 Observability: Langfuse, Langsmith, Galileo AI, Otel, Helicone, Portkey 🔹 Governance: Credo AI, Holistic AI, Bifrost 🔹 Documentation: Model Cards (Google Toolkit), Git Book, Docusaurus, Obsidian 🔹Data Warehousing: BigQuery, Cloud SQL, SQL Server, MySQL, Firebase, Snowflake 🔹Coding Languages: Python, SQL, JavaScript, Apps Script, Terraform, Git, Docker, Cloud Build 🔹ETL: Fivetran, DBT, Databricks, Windsor AI, Coupler io, Apify, Firecrawl 🔹Data Visualization: Hex AI, Power BI, Looker Studio, Zoho Analytics, DOMO, Metabase, Apache Superset, Databox 🔹Other Languages: DAX, M Language, C, C#, PHP, HTML, CSS, JS, TypeScript, VBA(Macros), Excel/Google Sheets Formulas ⭐ 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 🔹I partner companies who are serious about execution, long-term value, and clear decision-making. 🔹I work asynchronously and focus on planning, execution, and measurable outcomes rather than activity tracking (I don't use Upwork Tracker). 🔹Engagements can be hourly or fixed-price, but scope, expectations, and success criteria must be aligned before work begins. 🔹My process is generally: discovery → planning → approval → execution → reporting. In planning phase I provide estimated effort and expected deliverables. I only proceed after approval, helping prevent scope creep, misunderstandings, and unexpected costs. 🔹You're welcome to ask questions via Upwork messages. However, if you would like serious ]technical planning, real cost estimates, or move to a contract for execution I require a paid 30–60 minute consultation before. This helps establish intent, commitment, and mutual trust. Without that consultation, conversations should be considered informational only and should not be interpreted as formal project planning, estimates, or commitment to execution 🔹The same process applies to invitations and direct outreach. 🔹I do not use WhatsApp for project communication. Availability is generally Monday–Friday, 9 AM–5 PM (GMT-5). Most projects require no more than one weekly meeting, with additional sessions reserved for complex engagements. 🔹I work best with clients who value planning, documentation, accountability, and thoughtful execution over rushed development. 💡 𝐋𝐞𝐭’𝐬 𝐄𝐯𝐨𝐥𝐯𝐞 𝐘𝐨𝐮𝐫 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐭𝐨 𝐚𝐧 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞 If you are tired of fragmented tools and "AI toys" and are ready to build a robust, governed, and hyper-automated ecosystem, we should talk. Ready to orchestrate your future?

Forward-thinking and inquisitive Software Engineer with a background working productively in dynamic environments. Proactively, learning things at macro beyond code, focusing on the bigger picture, business value, and outcomes. 6+ years of professional experience in (ETL data pipeline, Microservices, Event Driven Architecture, Big Data, API, and Backend Development). Built end-to-end data processing system that processed over 1 billion records per day, utilizing multiple data engineering tools and streaming frameworks. Skills: Languages: Python, Java, NodeJS, PHP, SQL Data Engineering - Data Extraction, Streaming & Processing: Scrapy, Complex Data Scraping, Apache Flink, Apache Spark, AWS Kinesis, Apache Kafka, RabbitMQ, Fluentd - Data Standardization & Analytics: Microsoft Fabric Database: MySQL, PostgreSQL, MongoDB, InfluxDB Analytics Search Engines: Typesense, ElasticSearch, Algolia Other: AWS, EFK stack, Docker, Web Data Scraping, AWS S3, Event Driven Systems, Data pipelines, Vector Search, Proxy Server When I’m not working, you can find me watching or playing football, writing blogs, traveling, cycling, or researching open-source projects.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar