Hire the Best JSTL Specialists in Pune, IN

Data Engineer & AI Developer | 3+ Years Financial Industry Experience I build data pipelines, AI-powered applications, and automation systems that run reliably at scale. My background spans web scraping, LLM integration, computer vision, betting automation, and full-stack data dashboards — delivered to clients across the US, UK, Europe, and Japan. 💼 Background — 3+ years at a leading Indian bank building risk models, credit scorecards, and AutoML pipelines — PG Diploma in Big Data Analysis ⚡ What I Deliver — Web scrapers handling 1.2M+ URLs and 120K daily pipelines — LLM/AI apps using GPT-4, Gemini, LangChain, RAG, Text-to-SQL — Full Betting automation for horse racing, golf, and football signals — Computer vision pipelines with YOLOv8 and PaddleOCR — Streamlit dashboards, risk scorecards, and AutoML tools 🏆 Notable Work — PitchBook scraper — 1.2M URLs — Njuskalo — 120K daily real estate listings — Text-to-SQL architecture — BetFare — full Betfair automation — LLM Notebook — $1,420 solo delivery — Anti-bot bypass systems 🛠️ Stack Python · Playwright · Selenium · GPT-4 · Gemini · LangChain · Streamlit · PySpark · SQL · YOLOv8 · PaddleOCR · FastAPI · Betfair API · n8n Clean code. Clear communication. Delivered on time.

I help startups, growing companies, and established organisations design, modernise, and scale complex software platforms using Java, Python, AWS, data engineering, and practical AI. With 15+ years of experience in software engineering, architecture, product development, and technical leadership, I work across the full delivery lifecycle—from understanding the business problem and defining the architecture to building production systems, improving reliability, and guiding engineering teams. My core areas of expertise include: • Backend architecture using Java, Spring Boot, Python, Django, PostgreSQL, Redis, and event-driven systems • Cloud architecture and deployment on AWS • AI-powered data extraction, classification, search, RAG, and workflow automation • Legacy-system modernisation and microservices transformation • High-volume data platforms and large-scale database migrations • Engineering leadership, technical strategy, code reviews, and delivery planning • Performance optimisation, security, observability, and production readiness I have worked on platforms across fintech, manufacturing, education, healthcare data, enterprise software, and digital public infrastructure. Some examples of my experience include: • Designing AI-assisted product data extraction and search pipelines for large manufacturing datasets • Architecting B2B platforms covering product discovery, RFQ, purchase orders, delivery, payment, and administrative workflows • Supporting large-scale data migration involving millions of records from NoSQL to PostgreSQL • Building and scaling education technology platforms used by schools, teachers, students, and administrators • Contributing to digital public infrastructure and financial innovation initiatives • Helping organisations strengthen engineering teams, delivery processes, and product architecture I am best suited for projects where the client needs more than just coding—someone who can understand the business context, identify technical risks, make sound architectural decisions, and still work hands-on when required. You can engage me for: • Solution architecture and technical consulting • Java, Python, and AWS development • AI and data platform implementation • Backend modernisation • Fractional CTO or engineering advisory support • Technical audits and architecture reviews • Product MVP planning and production hardening I focus on practical, maintainable solutions rather than over-engineered systems. My goal is to help clients reduce technical risk, improve execution, and build systems that can support real business growth.

I'm a Full-Stack Java Developer with over 8+ years of industry experience. I excel in all aspects of Java application development, from design and development to deployment. I have a proven track record of building robust and Scalable applications across diverse domains. My Expertise Full-Stack Development: Java: Core Java, multithreading, OOP, Spring, Hibernate, Struts, J2EE. Frameworks & Libraries: Spring, Hibernate, JavaFX, Apache Struts. Microservices Architecture: Spring Cloud, Netflix OSS, service discovery, load balancing, tolerance mechanisms. Web Development: JSP, Servlets, RESTful APIs, Angular, React, HTML, CSS, JavaScript. Databases: MySQL, PostgreSQL, MongoDB, Redis. Testing & Debugging: JUnit, Mockito. I also use GitHub Copilot and Claude Code to deliver the best solutions. ✔ LLM integrations (OpenAI, Claude, etc.) ✔ AI-assisted workflow automation ✔ Prompt engineering & optimization ✔ RAG based enterprise search solutions ✔ AI code acceleration using tools like Cursor ✔ Designing AI-ready Microservices architecture Java Solution Architect: Designing scalable solutions with Java, Spring, Hibernate, and microservices. DevOps: Cloud setup, infrastructure management, CI/CD. Proficient in AWS (Lambda, EC2, S3, Redshift, SageMaker, Cognito) and GCP (VMs, Google cloud storage). Domain Experience: Insurance, finance, healthcare, e-learning, e-commerce, travel, real estate, logistics, supply chain, social networking, and education. CRM and ERP systems.

I build backend systems for industries where mistakes are expensive — banking, healthcare, cross-border regulatory compliance. 14 years, Java and Spring Boot throughout. What I'm doing now: integrating LLM and RAG features into enterprise Java systems. Most people building RAG are Python-first and have never touched a Spring Boot estate. Most Java engineers haven't shipped retrieval. I've done both. I built and operate a production AI assistant on Java 21 and Spring Boot 3.x — chunking and embedding pipelines, pgvector with HNSW indexing, three answer routes with source grounding, Spring Security JWT, Testcontainers integration tests, running on GCP App Engine. Also: Spring Boot secure code review and remediation of security audit findings. OWASP-aligned, including AI-generated code. Stack: Java 21, Spring Boot 3.x, Spring AI, Spring Security, JPA/Hibernate, PostgreSQL, pgvector, Kafka, AWS, GCP, React, TypeScript, Docker, CI/CD. 100% Job Success, Top Rated Plus, 3,000+ hours delivered.

🌟 Top Rated Plus & Expert-Vetted Freelancer on Upwork 🌟 I’m a seasoned Software Engineer with 12+ years of experience in building high-performance, enterprise-grade applications and cloud-native platforms. I specialize in developing scalable multi-tenant SaaS products, AI-powered automation tools, and secure, cloud-based backend systems. I have led the end-to-end development of enterprise SaaS platforms used globally, with a focus on microservices architecture, event-driven design, and robust multi-region tenant isolation. My experience also extends to integrating advanced AI workflows into production systems using cutting-edge tools like OpenAI and Google Vertex AI. I bring a results-driven mindset, strong problem-solving ability, and the ability to align technology with business goals. Whether you need to build from scratch, modernize an existing system, or integrate AI, I can help deliver value quickly and reliably. 💼 Core Expertise • SaaS Architecture: Multi-tenant design, tenant-aware microservices, RBAC, region-based deployments • AI Integrations: OpenAI (GPT), Google Vertex AI, LangChain, Pinecone, embeddings, vector search, LLM agents • Cloud & DevOps: AWS (Lambda, ECS, RDS, Cognito), GCP (Cloud Functions, Cloud Run, BigQuery), Docker, Kubernetes, Terraform • Backend Development: Java (Spring Boot), Python (FastAPI, Django), Node.js (Express, NestJS), PHP (Laravel) • Frontend Development: React, Angular, Vue.js, Tailwind CSS • CI/CD & Monitoring: GitHub Actions, Jenkins, AWS CodePipeline, Prometheus, Grafana, ELK, CloudWatch • Databases & Caching: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis If you’re looking for a developer who can take ownership, move fast, and deliver production-ready results, let’s connect. I’m confident I can help you build reliable software that scales with your business.

Most AI projects die between the demo and production. I close that gap: LLM agents, RAG, text-to-SQL, and the data pipelines and warehouses underneath them. 70 contracts, 1000+ hours, Top Rated. Working in data since 2012. MTech in Data Science from BITS Pilani. 8 years at Accenture, 4 at Persistent Systems. Most AI projects stall in the same place. The demo works, then it meets real data. That gap is where I spend my time: ingestion, modelling, evaluation, and the unglamorous reliability work that decides whether an agent survives contact with production. WHAT I BUILD AI and LLM systems - LLM agents and multi-agent workflows, with tool use, retrieval and evaluation harnesses - Text-to-SQL over real warehouses, with guardrails so business users can self-serve - RAG pipelines: chunking, embeddings, retrieval quality, hallucination control - AI features embedded into existing products, not standalone demos Data engineering - ETL and ELT pipelines from source systems into the warehouse - Data quality, validation and pipeline observability - Warehouse and lakehouse modelling - Platform migrations and modernization Analytics people actually use - Apache Superset and Preset, across multiple long-running engagements including 100+ hour front-end builds - Executive dashboards, embedded analytics, custom visualizations - Reporting layers that keep working after handover RECENT WORK - Text-to-SQL interface that lets executives query the warehouse in plain English - ESG data ingestion and automation for compliance reporting - Predictive maintenance models for manufacturing - Superset front-end and visualization work across several repeat clients STACK Python, SQL, Claude and OpenAI APIs, LangChain, FastAPI, PostgreSQL, MySQL, Apache Superset, Apache NiFi, Airflow, Elasticsearch, Power BI, AWS, Docker HOW I WORK Small scope first. I would rather prove the approach on a paid discovery or one narrow slice than write a long proposal for something neither of us has tested. You get working code, documentation and a real handover, not a dependency on me. Good fit if you have real data, a real business problem, and you want something running rather than a prototype. Not a fit if you need someone to fill a seat and work a ticket queue. Tell me what you are building and where it is stuck. I will tell you honestly whether I am the right person for it.