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**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**
Senior Full‑Stack Developer with over seven years’ experience designing, building and maintaining large‑scale web applications. Track record of delivering end‑to‑end solutions by partnering with stakeholders to translate business and user needs into reliable software. Committed to clean, maintainable code, performance tuning, security best practices, and automated CI/CD pipelines. Nearly two years of hands‑on AI experience, integrating machine learning models and automation to boost product intelligence. I’ve contributed as a developer at global leaders Adobe and Newgen, as well as at high‑growth startups MoveInSync and Zillious Solutions. Skills Advanced: Java, MySQL, PostgreSQL, Spring, Hibernate, Spring Boot, Maven/Gradle, Microservices, Multithreading & Concurrency Control, Web Services (SOAP & REST), RPC, Git, Google Cloud Platform (GCP), Database Modeling & Schema Design, SQL (Stored Procedures/Functions, Triggers), Docker, Kubernetes. Intermediate: TypeScript, Python, Angular, React, API Gateway, Service Discovery, Load Balancer, ELK Stack, Kafka, RabbitMQ, Redis Cache, RAG (Retrieval-Augmented Generation), AI Agents, LangGraph, Vector Databases, AI Workflows, Fine‑Tuning. Core Strengths: Scalable system design, back‑end architecture, data structures & algorithms. How I Can Help You – I’m here to tackle your toughest technical challenges with expertise and dedication. Special Offer – Enjoy your first session free! (Terms & Conditions apply — let’s discuss your needs during our requirement-gathering call.) Satisfaction Guaranteed – Not satisfied? Request an instant refund, no questions asked. For a comprehensive overview of additional technologies and frameworks tailored to your needs, please refer to the Expertise section of my profile.
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
I started out as a Structural Engineer, graduating from UNIBEN, finishing among the top 5 in my class, before taking a path that led me deep into the world of AI/ML Engineering. That transition wasn't linear, it was built on exposure, experimentation, failure, and a lot of learning along the way. Through it all, one thing has never changed: I'm most alive when I'm at the intersection of technology and real world problems. Growing it, evolving it, building it, scaling it. That obsession has shown up in the work, from building the first-ever AI-powered RFP at TalkDEI, to finishing in the top 5 globally at Hamoye, to consistently scoring 98/100 on technical assessments. I've also had the privilege of mentoring and teaching over 5,000 individuals across various skillsets.
Software consultant having worked as Engineering Manager and Lead Software Engineer in Javascript, Python and Elixir with over 12 years of experience demonstrating versatility and team leadership in diverse business domains from startups to big-tech. I run a software consulting and development firm where we take care of the entire product engineering lifecycle for you. With a background in structured, procedural and functional programming, implementing software architecture using principles such as Context Mapping, Domain Driven Design and C4 architecture to enhance system scalability and maintainability for enterprise application development, distributed systems, data processing & analytics, having steered multiple crossfunctional projects with autonomous teams of varying sizes to achieve OKRs, process optimisation and increased operational excellence. Experienced in data analytics, software development, using ETL tools such as fivetran, airflow, integromat. We are software engineers, product leads and consultants who have worked in a range of tech companies ranging from startups to bigtech like Klarna Bank, HCLTech, Google, L&T Infotech, Momox. We understand product development and have managed teams of different sizes with over 10 years of experience in various verticals such as Ecommerce, ERP, Fintech, FashionTech, Health & Wellness.
I am a senior full-stack & DevOps developer with a track record of maintaining distributed infrastructure, recent deep experience in large-scale data pipelines and a growing skillset and interest in applied AI/LLM integration. My recent work at an e-commerce search engine startup had me building and maintaining scrapers and a data pipeline that ingested over 10M product SKUs into an OpenSearch index, which was used for hybrid vector+lexical product search, enriched with LLM signals extracted as part of the pipeline. I've used reranking techniques like RRF to enhance relevance after retrieval, and RAG/grounding for features that answered personalized user queries with recommendations grounded in real customer reviews. My earlier work was heavily full-stack and always involved infrastructure where I often built and supported systems end-to-end, very often in context of a regulated market - with great examples like Deckard (PropTech/GovTech), Sick Children's Hospital/RareConnect (Healthcare-adjacent), and Ethoca \[now MasterCard\] (FinTech). I've also led IaC initiatives at Ethoca (Chef/Ansible, in 2016-17), and even implemented IaC from scratch for two startups - Pastel Labs (Terraform automation of AWS infrastructure for a B2B SaaS and a tutoring marketplace, in 2021), and Rilara (Pulumi for AWS infrastructure of their e-commerce product, in 2025-26). My startup experience is proven track record of working independently, but I also thrive as part of a team, with most recent example of being part of Deckard's distributed remote engineering team of 25+ people spread across the US and Australian timezones. Claude Code is part of my everyday workflow, and I am happy to consider myself a relatively-older senior developer who has successfully adapted to an AI-assisted/AI-first SDLC without compromising the quality of my work. I would be very excited to continue my journey with an opportunity in healthcare or finance, where I could apply my IaC skills while continuing to explore the world of LLM applications to improve user experience in these regulated environments. Should you have any questions about any of the background I mentioned here or on the attached resume, I would be glad to answer them in an interview at a time of your convenience. Thank you!
I am a seasoned an engineering leader and platform architect who views coding as both a craft and a creative outlet. My passion for product thinking and emerging technologies drives me to continuously explore innovative tech stacks, fueling my curiosity and commitment to learning. Over the years, I have designed and built platforms from the ground up—scaling them to serve millions of users. My expertise range from building {𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐬} to {𝗺𝗶𝗰𝗿𝗼-𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & Gen AI Pipelines}. Developed product at scale leveraging below stacks/framework: 💻 Full-Stack Frameworks • MEAN (MongoDB, Express, Angular, Node.js) • MERN (MongoDB, Express, React, Node.js) 🌐 Web Frameworks • FastAPI • Pyramid • Django • Fastify • Hono (for modern TypeScript/JavaScript edge apps) 📊 Big Data & Streaming • Apache Kafka • Apache Samza • Apache Spark • AWS Kinesis • ELK Stack (Elasticsearch, Logstash, Kibana) ☁️ Cloud & Serverless • Serverless Framework (AWS Lambda, Google Cloud Functions) • Supabase • Firebase 🗄️ Databases • MongoDB • Couchbase • PostgreSQL • MySQL • AWS RDS 📱 Mobile Development • Flutter (Android & iOS) • React Native (Android & iOS) 🔐 Authorization & Policy Engines • Open Policy Agent (OPA) • OpenFGA 🧠 AI & Generative Tech • Generative AI (Gen AI) • Retrieval-Augmented Generation (RAGs) • AI Agents • Prompt Engineering 🧬 Vector Databases • Weaviate • Chroma DB • Supabase (pgvector) 🛠️ AI Frameworks & Orchestration • LangChain • LlamaIndex • CrewAI • Haystack
Hey I'm Oscar! I'm a full-stack software engineer currently working for Snapchat and I've worked with C/C++/C#, Swift, JavaScript, Golang and more! My top frameworks are Node.JS, React, React Native. I love helping others and finding solutions to any problem. Over the years, I have build websites, mobile apps and robust backend architectures with the latest technologies.
Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.
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