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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.**
⏱ MY WORK HOURS : 7AM to 11 PM INDIAN STANDARD TIME . 16 HOURS A DAY :)
I’m a senior full-stack developer with 19+ years of real-world experience delivering scalable web and mobile solutions across industries. I work end-to-end—from architecture and development to optimization, security, and deployment.
💻 Web Technologies
AI, OPEN AI, GIThub Copilot, Claude Code, Loveable
PYTHON , CORE JAVA , ASP.NET
PHP Ecosystem: WordPress, Magento, Shopify, OpenCart, Joomla, OsCommerce
Frameworks: Laravel, CakePHP, CodeIgniter, Yii
Frontend: JavaScript, Angular, React
Backend: Node.js, Python (Flask, Django)
Automations : Zapier
📱 Mobile & Cross-Platform
React Native
FlutterFlow
API-driven mobile app backends
🤖 Advanced Skills
AI & third-party API integrations
Payment gateway integrations
SEO, speed optimization & performance tuning
Malware removal & security hardening
VB Macros & automation solutions
⚡ Strengths: Fast delivery, clear communication, production-ready solutions
👥 Team Support: Backed by a 10-member team (2 designers + 8 developers) for large-scale and long-term projects
I don’t just write code—I solve problems, mentor developers, and deliver results. If you need reliable guidance or hands-on execution across web, mobile, or AI-powered systems, I’m here to help.
Faster delivery and 24/7 communication are my greatest plus.
I'm Akshay Jaiswal, a Senior Mobile Application Developer with 8+ years of experience building high-quality Android, iOS, and Web applications.
I specialize in Flutter, FlutterFlow, Firebase, Supabase, REST APIs, AI integrations, and scalable mobile architectures. Over the years, I've delivered 15+ production applications for startups and businesses across different industries.
As a mentor, I enjoy helping developers solve complex problems, review code, improve application architecture, optimize performance, and follow best practices. Whether you're stuck with Flutter, FlutterFlow, Firebase, state management, API integration, or app deployment, I focus on providing practical solutions that you can apply immediately.
My goal is not only to fix issues but also to help developers understand the reasoning behind each solution so they can grow into confident mobile engineers.
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.
- 5+ projects in freelancing mobile+website games in Construct 3 for clients
- 1 year of daily tutoring in Construct 3 and C++
- 3 years of school learning experience with Java
- 5 months of tutoring in Unity game dev
- published one commercial Construct 2 game on Wii U "Reversi 32"
- tutored Intro to Computer Science material using Python with Minecraft every week since Dec 2019
NYC based developer with 16+ years of experience (independent freelancing, at Fortune 500s and at small startups). Languages include PHP, Javascript, Python, and Java. I have framework experience with Laravel, Symfony, CodeIgniter, and Vue. Always up for a challenge, whether it's new development or tracking down a bug. I enjoy overall architecture as much as getting into the finer details.
8 years of experience in building and managing AI Systems.
* I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems.
* Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs.
* Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline.
* Provide mentoring to junior developers for ML projects.
Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor)
Summary:
I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well.
I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well.
I have a cumulative experience of 8 years working in the product and service-based industry for creating Machine Learning projects.
I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on.
Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
\- Hands-on experience across several advanced AI and graphics-related domains, including:
* **3D graphics and reinforcement learning pathfinding** for autonomous driving systems, including work related to the **NASA Rover Challenge**.
* **Brain tumor segmentation and classification** using computer vision and deep learning techniques.
* **Video analytics and video classification**, including in-video action recognition and classification workflows.
I'm Shweta, the C# corner MVP, a speaker and a girl behind YouTube channel https://www.youtube.com/@shweta-lodha. You will find that I'm incredibly passionate about helping people solving their technical problems related to Microsoft Technologies and LLM. I won several recognition from very popular forums like MSDN, Microsoft Technet, C# Corner, CodeProject for my community contributions.
Technical cofounder, board member, and seasoned operator with experience building and growing early stage companies (pre-seed to late Series), large scale government and commercial projects, and nonprofits.
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