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I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
Data Analyst with 7 years of experience developing data solutions using Microsoft, AWS, and Google technologies. Bachelor’s degree in Information Systems from USP, with a thesis on exploratory data analysis using unsupervised machine learning — awarded high honors and published in the USP Digital Library of Academic Works. Skilled in creating reports, dashboards, and data models using SQL, Python, and Power BI to drive data-driven decision-making. Industry experience in Food & Beverage and Insurance, supporting strategic decisions with data insights. Certifications: DP-600, PL-300, DP-100 & Databricks Data Engineer Professional.
I help businesses, engineering teams, and developers design, optimize, and unblock high-performance Generative AI applications. With a focus on turning experimental AI into deterministic, production-grade software, I provide direct architectural mentorship and hands-on debugging to streamline your platform workflows. Whether you are scaling a multi-agent system, resolving high infrastructure costs, or troubleshooting complex backend pipelines, I help you eliminate bottlenecks across cloud-native environments. **🎯 WHERE I CAN UNBLOCK YOU IMMEDIATELY:** - Agentic Workflows & Orchestration: Multi-agent state machine design using LangGraph, handling long-running state persistence, tool calling, and autonomous self-correction loops. - RAG & Multimodal Search Architecture: Advanced data engineering pipelines, vector database optimization, semantic caching implementation, and real-time document intelligence layers. - Secure Text-to-SQL Pipelines: Setting up reliable text-to-SQL logic, schema-mapping techniques, and robust enterprise guardrails to ensure precise execution. - Enterprise AI Safety & Guardrails: Implementing custom validation layers, dynamic prompt routing, rate-limiting, and evaluation suites to measure accuracy, latency, and cost-efficiency. - End-to-End Cloud-Native Engineering: Scaling production microservices using Python and FastAPI, managing distributed systems architecture, and optimizing P95/P99 latency bounds. **🚀 USE CASES WE CAN ACCELERATE TOGETHER:** - Highly reliable conversational AI systems and advanced chatbots - Intelligent enterprise knowledge management and AI-powered document search - Automation tools and deep analytical analytics architectures for complex data environments If you are trying to optimize an existing production pipeline, transition a proof-of-concept (POC) to a secure enterprise framework, or need real-time debugging assistance on Python or LangGraph stacks—let's connect and get your code unblocked.
Jerome Hardaway is an AI Engineer and U.S. Air Force veteran with 15+ years in software engineering spanning frontend systems to AI infrastructure. He has built production-scale intelligent systems at Microsoft — powering AI experiences for brands like Starbucks and Domino's — and architected RAG and agentic platforms at Vista Equity Partners analyzing over $100B in assets under management. His technical work centers on Python, TypeScript/React, Next.js, FastAPI, LangChain/LangGraph, Azure AI services, and Google Cloud. He is a Microsoft Global Hackathon Winner, GitHub Star, and Google Developer Expert who teaches on LinkedIn Learning and Frontend Masters, with engineering insights published by GitHub ReadME and Stack Overflow. Jerome was honored at the White House by President Obama for his work empowering veterans through technology.
I design data platforms, the governance around them and the AI on them, then build them. Nine years in software, six on production data platforms: a 15 TB+ footprint, 100M+ events a day, 99.9% uptime. I move analytics off the product's Postgres, choose platforms by proof of concept, design governance an auditor can check (SOC 2 readiness), and ship AI agents whose output is typed, evaluated and reviewable. Reference architectures, case studies and measured open-source labs: basantbhattarai.com.np · github.com/technobasant
Software Engineer with 10 years of experience in Online Mentoring. My Database and SQL expertise include Conceptual and Logical designs (ERD &EER), Normalization, Relational Schemas, Complex queries, CTE, Stored Procedures, Functions, Cursors, Indexing, Optimization) I also mentor in Python Programming (3x) , Java (Version 8), MS Access (2020 and lower versions), Tableau (Visualizations) and C/C++. *** Full refund if the issue was not resolved ***
9+ years of experience in software development, with experience across Java-based microservices architecture and distributed systems, as well as Databricks and Apache Spark– based cost optimization and performance insights, along with HRMS, core and access network systems, and retail platforms. Proven ability to own features end-to-end, deliver scalable and reliable systems, and drive measurable business impact in Agile environments. Committed to continuous learning and staying current with industry best practices to deliver solutions aligned with organizational goals. Additionally, I am open to teaching opportunities and enjoy mentoring beginners to help them grow in their careers.
I have been working since 2014 as a data visualization expert. Graduated from one of the top universities and worked for the top companies in my country. Also, some of them are known globally like PepsiCo, Coca Cola. I have been working with Qlikview since the beginning of my career. In parallel to Qlikview, I am also using SQL as a query language to get my data to manipulate in my visualization tools. I also have expertise in Tableau. I have done Qlikview to Tableau migration project by myself in a very big company. I mentored/taught 3 junior data experts in my career.
I am a talented Software Engineer with additional experience as a Test Analyst and DevOps Engineer. I currently work on deploying to k8s clusters using Helm, managing Azure infrastructure using Terraform and develop automation using Python, TypeScript and bash shell scripts in GitLab pipelines. My capabilities also cover code review of Go services and test automation using Java frameworks
**I strive my best to provide excellent customer service and will issue a full refund if I am not able to resolve your issue.** 13 years of information management experience in design, development, and optimization of data solutions using MS BI Stack, MS Azure Data Stack and Power BI, spanning across data processing (ETL) of large datasets and building dashboards and reports for data warehousing consultancy projects for clients across Australia, US, Canada, and Europe. **Technologies:** * Azure PaaS Data Stack - Azure SQL DB, Synapse Analytics, Data Factory with DevOps, Blob/Data Lake Storage, Azure Analysis Services * Power Platform - Power BI, Power Automate * ETL - MS BI Stack (SSIS/SSAS) * Databases - MS SQL Server, Oracle, MySQL **Certifications:** * Databricks Certified Data Engineer Associate * Microsoft Certified Azure Enterprise Data Analyst Associate (Power BI and Azure Synapse Analytics) * Microsoft Certified Data Analyst Associate (Power BI) * Microsoft Certified Azure Solutions Architect Expert * Microsoft Certified Azure Data Engineer Associate * Microsoft Certified Azure Data/AI/Power Platform Fundamentals * 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/14 * Microsoft Certified Professional * 5 days training of Kalido Data Warehouse from Kalido Inc.
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