𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 I design and ship production-grade AI agents and enterprise platforms — not prototypes. With 16+ years as a Solutions Architect across AI/GenAI, cloud (AWS, Azure, GCP), SAP Commerce (Hybris), and system integration, I help businesses turn slow, manual, repetitive processes into AI-powered workflows: lead validation, customer onboarding, document/report generation, RAG-based knowledge assistants, and multi-agent automation pipelines built on LangGraph and LangChain. I've delivered architecture and technical leadership for GE, UBS, Bank of America (MBNA), Avaya, Emirates NBD, Haas Automation, Kao Corporation, Land Transport Authority, TravisMathew, Elo Touch Solutions, ITC, SAP Labs, Wipro, Infosys, and IBM — across Spain, the US, the UK, Thailand, and Malaysia, leading distributed engineering teams. Recipient of the Outstanding Performance Award (2010), SDG Corporation. If you need someone who can architect the AI system and actually build it — from LLM orchestration down to production deployment — that's what I do. 𝐂𝐨𝐫𝐞 𝐀𝐫𝐞𝐚𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 AI / GenAI & Agentic Systems RAG pipelines, agentic AI (LangGraph, LangChain, multi-agent orchestration), LLM integration (OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, Azure OpenAI, Azure Databricks, Mistral, LLaMA, DeepSeek), fine-tuning (LoRA/QLoRA), vector databases (Pinecone, ChromaDB, PGVector, FAISS), LLM observability (Langfuse, LangWatch, Dynatrace AI) Cloud Architecture AWS (Lambda, ECS/Fargate, Step Functions, SQS/SNS, Bedrock, SageMaker), Azure (AKS, Functions, Service Bus, AI Studio, Databricks, Synapse, Data Factory), GCP (GKE, Cloud Functions, Terraform IaC, Anthos), Kubernetes, Docker, Helm, GitOps, microservices SAP Ecosystem SAP BTP, CAP, Integration Suite, Event Mesh, API Management, Hybris Commerce, Spartacus, SAP Fiori/UI5, S/4HANA, HANA, SAP Analytics Cloud, Ariba, SAP Build, Neptune, CPQ — plus AI/LLM integration into SAP Commerce (chatbots, smart search, ticket triage) Integration & Platform Engineering MuleSoft, Software AG, Apache Camel, Kafka, RabbitMQ, API gateways (Apigee, Kong, Azure API Management, AWS API Gateway), event-driven architecture (EventBridge, SNS/SQS, Kinesis, Event Grid), n8n workflow automation Languages & Data Java 21, Python 3.10, Go, PostgreSQL 16, MySQL, MongoDB, FAISS, ChromaDB UI & Mobile React.js, Angular, Next.js, Node.js, React Native, Kotlin/Android, HarmonyOS Next (Cangjie, ArkTS), HTML/CSS3/JavaScript Leadership Engineering team leadership, stakeholder management, Agile/SCRUM/TOGAF, DevSecOps, MACH architecture

Greetings! I'm a seasoned Data Scientist with over 6 years of hands-on experience in developing and implementing data-driven solutions that elevate business performance. Proficiency in Python, C++, SQL, and cloud technologies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) is my forte. With a Master's degree in Machine Learning from the prestigious Indian Institute of Technology (IIT), Dhanbad, I bring both knowledge and expertise to the table. Work Experience Highlights: At Archcorp Architectural Engineering, Dubai, UAE, I led the development of an AI Search Engine tailored for architects, achieving a remarkable 93.5% boost in efficiency. I also automated data extraction and calculations, saving time and increasing efficiency by 95%. My leadership in designing a robust database and utilizing SQL and Power BI at Archcorp enabled us to store and glean insights from 18 years of quote comparison data. I developed a groundbreaking PDF form-filling program that streamlined administrative tasks, saving over 20 hours per week. At Axtria India Pvt. Ltd., I forecasted optimal advertising channels, improved annual appraisal processes, and automated file onboarding, significantly enhancing productivity and accuracy. As a Data Analyst, I skillfully managed data pipelines, utilized AWS Glue for ETL operations, and delivered valuable insights through Tableau dashboards. Skills Overview: Programming Languages: Python, C++, Java, SQL Cloud Platforms: AWS, Microsoft Azure, GCP AI and Data Science: Machine Learning, NLP, Computer Vision, Deep Learning Databases: SQL, MongoDB, HBase, Amazon RDS, Azure SQL Data Ingestion and Processing: Sqoop, AWS Glue, Apache Spark, AWS Databricks, Azure Databricks Data Lake: HDFS, Amazon S3, ADLS Gen2 Web Frameworks: Flask, Django, Streamlit Visualization Tools: Plotly, Power BI, Tableau Notable Projects: Developed and deployed an AI Object Detector app on Google Play Store. Pioneered a Bhagavad Gita search engine leveraging advanced language models. Innovated a sign language generation project using YOLOv5. Created a content-based Movie Recommender System with a captivating user interface. Achievements: Achieved a remarkable 99.2 percentile in the competitive GATE 2018 exam. Recognized for "Best Projects" during my Master's program at IIT, Dhanbad. Four-time recipient of the esteemed Bravo Award at Axtria for outstanding contributions. Certifications: The Ultimate Big Data Masters Program (Cloud-Focused) Full Stack Data Science Course Coursera: DeepLearning.AI and Stanford University – Machine Learning Specialization I'm passionate about leveraging data to drive business success and am excited to collaborate on projects that require data science expertise. Let's work together to achieve data-driven excellence!

Need an Experienced MSc. Data Engineer? 📍 Professional Summary: Data Solutions Specialist with over a decade of experience in designing, building, and optimizing data systems. I’ve been working in the data space since 2012, helping organizations implement scalable, high-performing pipelines and automated processes. 🔧 Technical Stack ETL Tools: Talend Data Integration, Talend Data Quality, Pentaho Spoon, Apache Airflow, Python, Informatica (Quick to learn and adapt to new ETL tools when needed) Cloud Platforms: Azure, AWS, Google Cloud, OVH (preferred platform) Programming Languages: Python (preferred), Java, R, Go Databases: PostgreSQL, MySQL, Oracle, Microsoft SQL Server, HBase, Neo4J, MongoDB Workspace: VS Code, Windows, Ubuntu, MAC OS, DBeaver, MOBA X Terminal, Git Bash, Git, Github, Gitlab Why Choose Me? Versatile Expertise: Skilled in building end-to-end data solutions—from scratch development to debugging, optimization, and full automation of pipelines. I focus on building maintainable, efficient, and resilient data architectures with API integrations and dynamic workflows. Cross-Disciplinary Skills: - Cloud Environment Architect; - Full-Stack Web Development (Flask & Vue.js) - Business Process Optimization (BPM) - Financial automation (including stock trading bots) - Telegram Bot automation and integrations Quick Learner: Any technology close to those listed above can be quickly learned and mastered. I focus on delivering best practices, clean design, and reliable guidance—whatever the tool or platform.

I am a Software Engineer, specializing in Data Engineering with some experience doing Data Analysis / Analytics. I implement data pipelines mostly on-top of cloud platforms. Occasionally, I do analytics and some visualization / front-end especially for full-stack data projects. I have about 9 years experience on software development in general and I am Google Cloud Certified Professional Data Engineer and AWS Cloud Practitioner Certified. Here are some technologies I have worked with in my past projects with varying degrees of expertise/familiarity: - Java, Java EE, Maven, Scala, Gradle, SBT - Back-end development, REST API, Web Services, NodeJS, ExpressJS, JSON and XML parsing - Front-end development, JavaScript, Angular, React, HTML5, CSS - Python, pandas, scikit-learn - Data visualization, Tableau, Google Data Studio, Looker, Power BI - RDBMS, PostgreSQL, MySQL, MS SQL Server, BigQuery - NoSQL, BigTable, Cassandra, HBase, MongoDB - Big Data, Hortonworks, Hadoop, Spark - Data pipelines, Airflow, NiFi, Google Cloud Dataflow/Apache Beam, Azure Data Factory - MQTT, Kafka, Google Cloud Pub/Sub - Docker, Kubernetes - bash scripting, automation, text processing, scraping, Scrapy, Beautiful Soup - Google Apps Script, Sheet API - Git, Bamboo, CI/CD - Google Cloud Platform, Amazon Web Services You can see some of my projects here in portfolio.

I have PhD in Theoretical and Mathematical Physics. I am co-author or author of about 20 scientific papers. My second specialization is Data Science along with Big Data. I have also solid experience in Big Data tools like: Apache Spark, Apache Solr, Kafka, HBase, HDFS, Hive and others. I used numerous machine learning algorithms during my career like: principal component analysis, self-organized maps, k-means, k-nearest neighbours and also linear models like simple linear regression. I developed an algorithm to predict time series data using linear regression and Holt-Winters models. In my professional career in Physics (Astrophysics) I calculated tidal perturbations of Lares/Lageos satellite, constructed long range Hubble diagram for gamma-ray bursts.

🚀 Looking to build AI-powered applications? I help businesses develop production-ready AI solutions using Large Language Models, Agentic AI, and scalable backend systems. Hi, I'm Hitesh, an AI Engineer with a strong background in backend development and data engineering. I specialize in building reliable, scalable, and maintainable AI applications—from intelligent chatbots and AI agents to document intelligence and Retrieval-Augmented Generation (RAG) systems. What I can help you build AI Agents & Multi-Agent Workflows RAG Applications AI Chatbots & Knowledge Assistants Document & PDF Intelligence Vision Language Model (VLM) Applications Semantic Search AI Backend APIs LLM Integrations & Automation Technologies AI & LLM OpenAI, Claude, Gemini LiteLLM LangChain LangGraph LangFuse Prompt Engineering Function Calling Structured Outputs Backend Python FastAPI PostgreSQL pgvector REST APIs Docker Kubernetes Data & Infrastructure Apache Spark Kafka Trino Elasticsearch AWS GCP Databricks MinIO Why work with me? I don't just integrate LLM APIs—I build complete AI systems with clean architecture, scalable backends, efficient retrieval pipelines, and production-ready code. My experience in backend engineering and distributed data systems allows me to develop AI applications that are reliable, maintainable, and designed to scale. Whether you're building an AI assistant, an internal knowledge platform, an intelligent search system, or an AI-powered SaaS product, I can help turn your idea into a robust solution. Let's discuss your project and build something impactful.

个人优势 1. 拥有9年专业数据仓库开发经验,熟练掌握数据处理流程,曾成功领导5人团队完成复杂项目. 2. 自驱力强,如通过编写 py 脚本实现自动化,有效减少错误,显著提高工作效率. 3. 具备跨团队协作经验,善于与不同背景的团队成员沟通,确保项目顺利进行. 4. 来自同盾科技的背景,显示了在知名企业的专业历练,能适应快节奏,高要求的工作环境. 5. 具备外企工作经验,有一定的英语交流能力

Results-driven Data Engineer with over 12 years of experience in designing, building, and deploying scalable data processing pipelines using Python, Apache Spark, and SQL across diverse domains including E-commerce, Banking, and Healthcare. Proven expertise in developing end-to-end data solutions that transform raw data into actionable insights and business value. Core Competencies Data Engineering & ETL Development: Skilled in architecting and implementing high-performance data pipelines for batch and streaming data using Apache Spark, Hadoop, Kafka, and Airflow. Experienced in data modeling, transformation, and orchestration to support analytics and reporting needs. Cloud & Infrastructure: Proficient in developing and deploying data-driven microservices within containerized environments using Docker and Kubernetes. Hands-on experience in AWS (EC2, S3, EMR, RDS) and Google Cloud Platform (BigQuery, Dataflow, Cloud SQL) for cloud-native data engineering. Agile & DevOps Practices: Adept at applying Agile methodologies (Scrum, Kanban) and DevOps workflows (Gitflow, CI/CD pipelines) to accelerate software delivery and ensure high-quality deployments. Business Intelligence & Visualization: Expertise in developing interactive dashboards and analytical reports using Tableau, MicroStrategy, and Pentaho, enabling business teams to make data-driven decisions with confidence. Database & Storage Systems: Strong working knowledge of SQL and NoSQL databases including MySQL, Oracle, MS SQL Server, MongoDB, Redis, and Exasol, with experience in query optimization and performance tuning. Technical Skills Programming Languages: Python, SQL Big Data Ecosystem: Hadoop, Spark, Hive, HBase, Kafka, Apache Airflow Databases: MySQL, Oracle, MS SQL, MongoDB, Redis, Exasol Cloud Platforms: AWS (EC2, EMR, RDS, S3), GCP (BigQuery, Dataflow, Cloud SQL) Containerization & Orchestration: Docker, Kubernetes Visualization Tools: Tableau, MicroStrategy, Pentaho Version Control & Collaboration: Git, GitHub, GitLab, Jira, Trello Methodologies: Agile, Scrum, CI/CD Highlights Designed and deployed scalable, fault-tolerant data pipelines from scratch using Python, Spark, and Airflow. Integrated real-time and batch data workflows to improve data availability and reporting accuracy. Led multiple cloud migration and data modernization projects for large-scale enterprise systems. Delivered self-service BI dashboards that reduced manual reporting effort and accelerated business insights.

Profile Summery Having total 7 years 7 months of Experience in which 2 years 8 months of Software Engineer and 4 years 10 months of Lead Software Engineer- Quality: in Automation Testing, Firmware Testing, Manual Testing, Test management, Mobile testing, Database Testing, PostgreSQL, Postman, Jira, Zephyr, Confluence, AWS, Test Project, Ranorex, Tosca, C/C++, Python, Core Java, Java 8, Hibernate, Spring Framework, Linux, Micro services, Rest APIs, JSP, JS, JSF and SQL, GitHub Co-Pilot & Amazon Q AI tool, Windows services with effective organizational skills with exceptional focus and follow through abilities, proactive in nature with a continuous quest to learn new technologies. Core Competencies * Expertise in various testing tools, API Testing- Postman/Newman, Test Management-Confluence, Zephyr, Jira, Jira service desk, Linux, Automation Testing, Firmware testing, Manual testing, C/C++, Python, Core Java, Java 8, Hibernate, Spring

I am software developer with 2 years of professional coding experience. I am efficient in Java and Python coding languages. I completed my Masters in Computer Science from Arizona State University with courses aligned towards Machine Learning and Data Mining domain. I completed my summer 2017 Internship at Yahoo Search. I have worked on Hadoop, Spark, HBase, Storm, Machine Learning Algorithms. I have also experience in Android Application Development and Web Development. I've worked and delivered enterprise applications. Over last 10 years I've been involved in many teams under different roles, as developer, senior developer, team lead and technical architect. Below are few my strong points as technical person. - Software architecture development and consultation - Software Products in Microsoft .net 2.0 to 4.5 - Cloud (Windows Azure and Amazon web service) - Xamarin iOS/Android/Forms - Azure HDInsight, Hive and HBase - ASP.Net Application (2.0 to 5.0) - MVC 6 & WebAPI - Windows Presentation Framework (WPF) - Sharepoint and Office 360 - Windows Forms Applications - Responsive Web Design - Software architecture - Model View ViewModel Pattern (MVVM) - Microsoft Patterns and Practices - Angularjs and Knockoutjs - Agile with Scrum methodology - WCF, Web Services and REST - XAML and Windows 8 application - Angular, React, Vue JS framework less