Lokesh Jain
Senior Full Stack & AI Developer
Architecting high-scale web platforms with PHP, Node.js, React.js, & AWS, while integrating state-of-the-art AI & Machine Learning models to build intelligent, production-ready software systems.
6+
Years Experience
30+
Production Apps
10+
AI & ML Models Deployed
99.9%
AWS System Uptime
About Me
Transforming complex backend architectures into seamless, AI-powered web applications.
With over 6+ years of software engineering experience, I specialize in building enterprise-grade, full-stack systems using PHP (Laravel), Node.js (Express), React.js, and AWS Cloud Services.
Recently, my engineering focus has expanded into Artificial Intelligence & Machine Learning—architecting Retrieval-Augmented Generation (RAG) pipelines, fine-tuning LLM implementations, deploying vector search engines (Pinecone/Chroma), and integrating automated ML predictive models into core production web workflows.
Whether managing multi-tenant AWS cloud microservices or designing responsive, component-driven UIs in React.js, I deliver robust, secure, and highly scalable software solutions engineered for performance.
Full Stack Web Architecture
Building high-concurrency Web APIs and dynamic SPAs using PHP Laravel, Node.js, Express, React.js, and TypeScript.
AWS Cloud & Serverless DevOps
Designing auto-scaling AWS infrastructure (EC2, ECS, Lambda, DynamoDB, RDS, S3) with automated CI/CD deployment pipelines.
AI & Machine Learning Solutions
Developing RAG applications, vector embeddings, sentiment engines, and scikit-learn predictive models integrated into production software.
Database & Performance Optimization
Optimizing relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases for sub-second query performance under heavy load.
Skills & Expertise
Backend & APIs
Frontend & UI
AWS & Cloud Infrastructure
AI & Machine Learning
Databases & Caching
Software Engineering
Work Experience
Senior Full Stack & AI Engineering Lead
- Architected high-throughput microservices using Node.js, PHP (Laravel), and AWS ECS handling 1M+ daily API transactions.
- Engineered an in-house enterprise RAG knowledge engine with LangChain, Pinecone Vector DB, and OpenAI/Gemini APIs, reducing customer support resolution time by 65%.
- Led frontend modernization migrating monolithic templates to modular React.js & Next.js components, boosting page speed index by 40%.
- Managed multi-tenant AWS Infrastructure utilizing EC2, Lambda, S3, RDS MySQL, CloudFront CDN, and IAM security policies.
Senior Full Stack Developer
- Developed custom enterprise SaaS applications utilizing PHP (Laravel, Symfony) backends and responsive React.js dashboards.
- Designed and deployed serverless Node.js functions on AWS Lambda & API Gateway to process asynchronous webhook data streams.
- Built automated Machine Learning churn prediction models in Python (Scikit-Learn) integrated with React dynamic visualization charts.
- Optimized MySQL query execution plans and implemented Redis caching, reducing server database loads by 50%.
Full Stack Software Engineer
- Designed and built custom web portals, e-commerce solutions, and admin panels using PHP, JavaScript, HTML5, CSS3, and MySQL.
- Created rest APIs in Node.js/Express and PHP Laravel for third-party integrations including Stripe, PayPal, and SendGrid.
- Configured cloud hosting on AWS EC2, configured Nginx web servers, and managed SSL certificates and domain DNS.
- Collaborated in agile cross-functional teams to deliver 15+ high-performing web projects on tight client schedules.
Featured Projects
OmniAI - Enterprise RAG & LLM Assistant
Next-generation AI document search and Q&A engine built with Node.js, React.js, OpenAI/Gemini APIs, and Pinecone vector store, deployed on AWS Serverless.
- Sub-second contextual retrieval across 100k+ documents.
- Interactive React chat interface with streaming responses.
CloudScale Enterprise E-Commerce & ERP
High-performance multi-tenant e-commerce platform powered by a PHP Laravel backend engine, React.js frontend, and AWS EC2/RDS database clustering.
- Processed over $2M+ in transactions with 99.99% uptime.
- Redis cache tier cut database query latency by 60%.
Machine Learning Churn Prediction Engine
End-to-end predictive analytics web application utilizing Python Scikit-Learn algorithms, Node.js REST API layer, and React dynamic visual charts.
- Achieved 89% accuracy in predicting customer churn risk.
- Automated daily model retrain pipelines via Docker & Cron.
Event-Driven Serverless Cloud Engine
Cloud-native API gateway and event architecture constructed with AWS Lambda, Node.js, DynamoDB, S3, and a React.js single-page administration interface.
- Zero server overhead cost with 100% elastic scaling.
- Automated CI/CD deployment via GitHub Actions & AWS SAM.
Education & Certifications
Formal Education
Bachelor of Technology (B.Tech) in Computer Science & Engineering
Rajasthan Technical University (RTU)
Coursework in Data Structures, Algorithms, Database Management Systems, Web Development, Cloud Computing, and Operating Systems.
Certifications & Training
AWS Certified Solutions Architect – Associate
Amazon Web Services (AWS)
Cloud Architecture & SecurityAI & Machine Learning Specialization
DeepLearning.AI / Coursera
Neural Networks, Python ML, RAG & LLMsFull Stack Web Development Professional
Udemy / Meta Certification
PHP, Node.js, React.js, MySQLLet's Connect & Build Together
Have a project or opportunity?
I am open to full-time engineering roles, technical lead opportunities, and high-impact Full Stack & AI consulting projects.