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Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
I'm a Highly accomplished and results-oriented Engineer with extensive experience in **Full-stack Development, Artificial Intelligence (AI), Cloud Computing, and MLOps/AI** Pipelines I help engineers here—especially those early in their journey—build real-world skills through code reviews, system design, and project guidance. My approach is grounded in clarity, scalability, and long-term growth.
**Laleet** is a seasoned software engineer with over 8 years of experience in modern web and backend development. He specializes in building, scaling, and supporting high-performance applications using **React**, **Next.js**, **Angular**, **NestJS**, and **Express.js**.
I don't just write code — I **define the architecture**. For over two decades I've been the person CTOs and lead developers call when a system is *failing under load*, a migration is at risk, or an AI integration needs to be done **right the first time**. With **21 years** of hands-on architecture experience, I specialize in **C#, .NET, Blazor, ASP.NET Core, SQL, Python**, and AI agents built with **Semantic Kernel, LangGraph, and custom tool-calling pipelines**. I design and deliver systems where performance, reliability, and intelligent automation aren't optional — they're the baseline. I've helped teams migrate from legacy .NET Framework to .NET 8, integrate AI into production pipelines, and recover systems failing under scale — without full rewrites. I've shipped AI to **production** — not to a Jupyter notebook. I'm the creator of **FreeAIVoice** — a live AI voice platform with AI Voice Generation, Voice Cloning, and Speech-to-Text across **30+ spoken languages** and a developer API. I provided production systems for The New York Times. --- **Here's where I'm most useful to you:** - **The AI Integration Trap** — You've been asked to add AI to your existing .NET system but don't know whether to use *Semantic Kernel*, raw OpenAI APIs, or a Python sidecar. I've made that decision dozens of times. I'll make it faster and safer for you. - **The Blazor Bottleneck** — Your Blazor app is slow, state management is tangled, and you're unsure if you chose *Server or WASM* incorrectly. I can diagnose what went wrong and map a clean path forward — often in a single session. - **The Legacy Modernization Cliff** — You have a 10-year-old .NET system that needs AI or modern tooling but wasn't designed for it. I specialize in *incremental refactoring paths* that don't require a full rewrite and don't break what's already working. --- **What I Do Best:** - **Software Architecture & System Design** — scalable, maintainable systems from greenfield to enterprise - **AI Agent Development** — production-grade agents with Semantic Kernel, LangGraph & AutoGen — *not demos* - **Blazor & ASP.NET Core** — Server, WASM, hybrid — full-cycle development and performance tuning - **Python & AI Automation** — RAG pipelines, workflow automation, voice AI, LLM integrations - **Legacy .NET Modernization** — refactoring strategy, migration paths, incremental upgrades - **Architecture Audits** — identifying structural risk before it becomes a production incident, not after - **Debugging Complex Systems** — when the stack trace doesn't tell the whole story **If any of this sounds like your current situation — DM me. I respond to every message.**
I am currently employed as a frontend lead at Cyberspace. I’m hands on in all stages of software development cycle, from planning and design to testing and deployment. Jude is passionate about algorithms analysis, bug fixes, brainstorming ideas, integrating and building new systems
I’m a senior backend engineer with 10+ years of experience in Java, APIs, and distributed systems. I enjoy mentoring because I like helping engineers not just fix bugs, but understand why things break—especially in async and event-driven systems like Kafka. I focus on clear reasoning, root-cause analysis, and practical fixes, so you leave with both a working solution and a better mental model. If you’re stuck on a bug or confusing backend behavior, I’ll help you unblock quickly and learn in the process.
Hi, I'm Lanre! I'm a **full-stack developer** specializing in **JavaScript**, **PHP**, **Python**, **React**, **Next.js**, **Laravel**, **SQL**, and **Node.js**..
🚀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝟭5+ 𝗬𝗲𝗮𝗿𝘀 𝗶𝗻 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 I specialize in designing and delivering high-performance, scalable, and secure applications across enterprise and cloud environments. With proven expertise in .NET (Core 7/8/9), Azure & AWS Cloud, Data Engineering, and AI-powered integrations, I help organizations modernize systems, optimize performance, and drive innovation. 🔑 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➡ 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 → Microservices, REST APIs, Windows Services, Cron Jobs, Performance Optimization, Security Implementations. ➡ 𝗖𝗹𝗼𝘂𝗱 & 𝗗𝗮𝘁𝗮 → Azure Logic Apps, Azure Semantic Search, Redis Cache, Azure Sql, AWS Cloud, MS SQL, PostgreSQL, Snowflake, Airflow, Python, Data Processing Pipelines, ETL, Akamai CDN. ➡ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗧𝗼𝗼𝗹𝘀 → [ASP.NET](http://asp.net/) Core, .NET 8,9, C#, EF Core, Python, Django, FastAPI, jQuery, Bootstrap, OpenXML, GitHub, Bitbucket, TFS, JIRA. ➡ 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻→ AI Tools Integration, Intelligent Search, Workflow Automation. 🏆 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 ✔ Employee of the Quarter – Telus Digital. ✔ Employee Recognition Award – Thomson Reuters Elite. ✔ Contributed to Swayam (Gov. of India initiative) in collaboration with Microsoft & AICTE. 💡 𝗣𝗮𝘀𝘀𝗶𝗼𝗻𝗮𝘁𝗲 𝗮𝗯𝗼𝘂𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲, 𝗰𝗹𝗼𝘂𝗱-𝗳𝗶𝗿𝘀𝘁, 𝗮𝗻𝗱 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁. Looking for any long term engagement/Mentoring of .Net, Python, Django etc. project.
Software Engineer with experience in scaling, testing, and solving complex problems. Extensive experience in globally distributed software development team, solution design, and implementation of complex technical projects. I have a bachelors degree in computer science
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
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