Hi, I'm

Sriharivishnu Janakiraman

Technical Lead | Senior Full-Stack Engineer| AI Systems Architect

Full-stack engineering leader with 8+ years building scalable platforms + emerging AI systems expertise. Skilled in Java, Spring Boot, React, distributed systems, cloud infrastructure. AI-Assisted Development: prompt engineering, multi-agent orchestration, LLM integration. Multi-Agent Architect designing autonomous systems with LangChain, CrewAI. Proficient in banking, automotive, enterprise domains.

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About Me

Full-stack engineering leader with proven expertise in designing and delivering scalable backend platforms and modern frontend applications across banking, automotive, and enterprise domains. I specialize in defining system architecture end-to-end (API to UI), mentoring engineers, and delivering high-impact systems operating at scale in regulated environments.

Strong background in Java, Spring Boot, React, distributed systems, and cloud infrastructure (AWS, GCP). Passionate about leveraging AI systems for enterprise automation and knowledge retrieval. Experienced in leading cross-functional teams, conducting architecture reviews, and ensuring security-by-design principles throughout the development lifecycle.

Soft Skills

System Design & AI Architecture Generative AI Leadership LLM & RAG Expertise AI-Native Security Cross-Functional Teams

Education

2024

PG Program – Generative AI & Prompt Engineering

Indian Institute of Science

2019

B.E. Mechanical Engineering

Sri Eshwar College of Engineering

Technical Skills

Languages

Java Python JavaScript TypeScript

Frameworks

Spring Boot React.js Microservices FastAPI LangChain

Databases

Oracle PostgreSQL MySQL DynamoDB Supabase Redis Elasticsearch MongoDB

Tools & Platforms

AWS GCP Azure Docker Kubernetes Jenkins Kafka

Core Concepts

Distributed Systems REST APIs Event-Driven Architecture Scalability

AI/ML

LLM APIs (OpenAI, Claude) RAG Architecture Prompt Engineering TensorFlow & PyTorch Hugging Face Transformers

AI & ML Specialization

Generative AI & LLMs Prompt Engineering Multi-Agent Orchestration AI-Assisted Development ChromaDB & Vector DBs LangChain & CrewAI

AI Tools & Frameworks

Langflow MCP (Model Context Protocol) Vector Embeddings RAG Architecture ML Model Fine-tuning AI API Integration

My Projects

AI-Driven Decision Intelligence Platform

Enterprise-scale decision intelligence platform powered by generative AI. Leverages Rust Axum for high-performance systems, OpenAI APIs for advanced LLM inference, Milvus vector database for semantic search, and Kubernetes orchestration. Features multi-model AI orchestration with Splunk observability for production monitoring.

Rust Axum Generative AI Vector Search Kubernetes Observability

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AI Autonomous Scaling for Kafka Clusters

ML-driven autonomous scaling solution for Apache Kafka using Java and Spring Boot. Implements predictive ML algorithms to forecast traffic patterns and dynamically optimize resource allocation. Delivers 30-40% cost savings through intelligent capacity planning and anomaly detection using TensorFlow.

Java ML Prediction Kafka TensorFlow Autonomous Systems

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Real-Time AI Audio Analysis System

Distributed real-time audio analysis system using Python with advanced AI/ML processing. Leverages Apache Kafka for event streaming, AI models for acoustic analysis, and real-time insights extraction. Handles high-volume data streams with event-driven architecture for anomaly detection and signal processing.

Python AI Models Real-Time Processing Kafka Signal Processing

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Explore My More Projects on GitHub

My Experiences

Senior Software Engineer / Technical Lead

Capgemini, Malaysia

2025 – Present

Led end-to-end delivery of enterprise-scale banking platforms for Standard Chartered Bank. Architected AI-enhanced systems for decision intelligence and fraud detection. Defined microservices architecture, mentored 6+ engineers in AI integration, and drove adoption of LLM-based features for customer analytics and automated risk assessment.

Full Stack Lead Engineer

Ascendion Engineering, India

2025

Architected and delivered AI-powered microservices for Experian enterprise platforms using Spring Boot, React, and integrated OpenAI APIs. Implemented 30-40% system scalability improvements via Redis caching, Kafka streaming, and ML-based auto-scaling. Led AI model integration for data enrichment and anomaly detection.

Full Stack Software Engineer

Ford Motors Pvt Ltd, India

2024

Delivered full-stack features for Ford Pro Incentive Bids platform using Spring Boot, React, and GCP. Built AI-powered recommendation engine with TensorFlow for bid optimization. Implemented event-driven data pipelines with Pub/Sub, BigQuery, and Dataflow for real-time ML insights and predictive analytics.

Software Engineer

Nexwave Talent Solutions (Marriott Intl.), India

2022 – 2023

Led cloud-native modernization of legacy systems into microservices architecture using Spring Boot and React. Designed responsive, scalable frontend applications with state management. Enhanced system fault tolerance and deployment frequency using AWS-managed services. Mentored junior engineers on full-stack best practices.

Software Developer

Reno Plas Pvt. Ltd., India

2019 – 2022

Built and scaled full-stack recruitment and e-commerce platforms using Spring Boot and React. Developed responsive UIs, integrated REST APIs, and optimized database queries for high-traffic workloads. Handled millions of requests and implemented caching strategies for performance optimization. Contributed to system architecture decisions.