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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.
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
Hi, I'm Lanre! I'm a **full-stack developer** specializing in **JavaScript**, **PHP**, **Python**, **React**, **Next.js**, **Laravel**, **SQL**, and **Node.js**..
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
I am a Software Engineer with over 10 years of experience in full-stack development and technical leadership. I specialize in modern web technologies, including JavaScript, TypeScript, React, Node.js, and AWS. My expertise spans frontend frameworks (React, Next.js, Electron), backend architectures (Node.js, Flask), and databases (MySQL, PostgreSQL, MongoDB). I have hands-on experience using Python across AI, backend, and automation projects. One of my major works involved using FastAPI to build a LangChain- and Gemini-powered virtual customer service bot integrated with a MySQL database for an e-commerce platform. This bot handled real-time customer queries, fetched answers contextually, and served as an intelligent interface between users and product data. Additionally, I’ve used Flask to develop an AI voice support system powered by ElevenLabs, integrating Retrieval-Augmented Generation (RAG) for voice-based Q&A experiences. On the infrastructure side, I’ve worked extensively with AWS to deploy, scale, and manage production environments. I’ve used AWS Amplify for CI/CD automation of frontends, EC2 with NGINX for hosting and load balancing, and RDS (MySQL/Postgres) for secure, scalable database management. I’ve also configured Route 53, CloudFront, and S3 Buckets for content delivery and static hosting, ensuring efficient global performance and high availability across deployments. Together, these experiences demonstrate my ability to bridge AI-powered Python backends with cloud-native AWS deployments, ensuring reliability, scalability, and seamless user experiences across both web and mobile environments. I have led diverse projects, from HRIS systems to eVoting platforms, focusing on scalability, security, and system performance. Recently, I developed an AI-driven response evaluator app, enhancing NLP with the Natural library and refining machine learning models, strengthening my AI and model evaluation skills. I developed a social media automation dashboard enabling users to authenticate via Facebook Login, schedule posts, and track engagement analytics in real time. Integrated the Facebook Graph API for user authentication, post publishing, and insights retrieval, while managing webhook updates for page activity. With a collaborative leadership style grounded in values of Excellence, Passion, Integrity, and Commitment, I have led initiatives that increased revenue and improved institutional rankings, including overseeing the creation of over 15 educational applications at Yaba College of Technology. Cross-platform offline-first POS built with Electron (macOS/Windows) featuring secure role-based sessions, robust API sync (idempotent/outbox), high-performance UI (workers/virtualized lists), and production packaging (code-signed, auto-updates). Also, actively use Cursor, GitHub Copilot, and ChatGPT in my day‑to‑day work. * Cursor: I lean on repo-wide context to refactor legacy modules, generate test suites, run multi-file code mods, and rapidly scaffold React/Next.js features. I also use its inline “chat-on-selection” to explain unfamiliar code paths and to produce migration scripts (e.g., Prisma/PostgreSQL schema changes). * GitHub Copilot: Great for fast boilerplate (handlers, DTOs, Prisma models), unit tests, and typed hooks in TypeScript-heavy codebases. * ChatGPT: Architecture brainstorming, prompt engineering for LLM features (LangChain), complex regex, and translating requirements into clean DDD/Clean Architecture boundaries. * Facebook Graph API–powered automation app that enables users to log in, schedule posts, and track real-time engagement analytics using React, Node.js, and Supabase. This combo has materially reduced cycle time on projects like IntelliTest (AI-powered CBT) and my LangChain eCommerce chatbot, where I used AI tools to scaffold multi-turn LLM workflows, write evaluation chains, and iteratively harden the codebase. My goal is to leverage my technical and leadership skills to drive innovation and deliver transformative solutions aligned with business objectives.
I am an experienced full stack developer 12+ years in the field with consistent knowledge in developing web portals with expertise in multiple opensource of PHP like WordPress, Laravel, CodeIgniter, YII, Also having other domain Django , Flask, Shopify, Skilled with JavaScript ,Node JS, Angular, Next Js and React . Hence moving forward with full stack development
**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 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.
Hi, I’m a senior developer and AI engineer with 7+ years on Codementor, rated 5 stars across 93+ reviews. I specialize in Python, AI/ML, Agentic Ai, computer vision, automation, and full-stack development. I focus on practical, scalable solutions — from debugging tough issues to building complete systems. I’m passionate about offline AI, human-like UI automation, and efficient system design. Latest AI agent app - KarnAGT You can also visit my GitHub to know more about my latest ai product development capabilities. If you need sharp technical help grounded in real-world experience, I’m here to help.
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