Hi, I'm
Aditya Agrawal
Building AI-powered systems and scalable backends that solve real-world problems. From RAG chatbots to anomaly detection — I craft intelligent solutions with code.
Aditya Agrawal
AI/ML · Software Engineer
Mumbai, India
Building the future with AI & code
I'm a software engineer passionate about combining machine learning with robust backend systems to create impactful products.
I currently work at Accenture where I design and build AI-powered systems that automate supplier support using RAG architecture, LLMs, and semantic search. I've reduced support tickets by 40% and improved response times by 90%.
Previously, I built enterprise Angular applications at Impetus, creating reusable UI components and integrating REST APIs for document management systems used across departments.
I'm deeply interested in LLMs, vector retrieval, and microservices. I believe in writing clean, testable code and shipping with confidence.
Where I've worked
Building impactful products at scale.
- Developed an AI-powered GS3 Supplier Support Chatbot using RAG architecture, LLMs, and semantic search to automate supplier query resolution.
- Reduced repetitive Level-1 and Level-3 support tickets by 40% and improved query response times by 90% through intelligent automation.
- Built REST APIs using Python & FastAPI, enabling real-time chatbot interactions for 2,000+ global supplier users.
- Improved answer accuracy to 81% through vector embeddings, prompt engineering, and retrieval optimization.
- Developed key modules for an enterprise Document Management System (DMS) using Angular 16, supporting 1,000+ business documents across departments.
- Designed and implemented 15+ reusable UI components using Angular, TypeScript, HTML5, CSS3 & Bootstrap, reducing development effort by 30%.
- Integrated 20+ RESTful APIs for document upload, retrieval, version control, and approval workflows.
- Implemented advanced search, filtering, and categorization, reducing document retrieval time by 40%.
- Resolved 50+ UI and functional defects, improving application stability by 20%.
Tech stack & expertise
Tools and technologies I work with daily.
AI / LLM
Vector & Retrieval
Backend
Data & Messaging
DevOps & Cloud
Frontend & Tools
Featured work
A selection of my projects — from AI to microservices.
AI-Driven Microservices Anomaly Detection
Built a Kafka/Spring Boot pipeline to ingest real-time microservice telemetry (latency, CPU, error rates). Deployed an Isolation Forest model that detects anomalies with <500ms end-to-end latency. Optimized inference to ~8.8ms via Redis feature caching; exposed anomaly scores via REST/API Gateway for dashboards and alerting.
LLM Cost Autopilot
Architected a multi-provider LLM routing platform (Groq, OpenAI, Anthropic, Ollama) with FastAPI and a scikit-learn classifier that auto-routes requests by complexity, cutting inference costs by up to 70%. Built an asynchronous LLM-as-judge verification pipeline with a self-improving feedback loop, achieving 87.8% classification accuracy.
GS3 Supplier Support Chatbot
Enterprise-grade chatbot using RAG architecture, LLMs (OpenAI, Claude), and semantic search. Integrated with FastAPI and deployed for 2,000+ global suppliers. Achieved 81% answer accuracy with optimized retrieval and prompt engineering.
Where I learned
Madhav Institute Of Technology And Science
Bachelor of Technology · Mechanical Engineering · Gwalior, M.P.
Let's build something great
I'm always open to interesting conversations and opportunities.
Reach out directly
agrawalwadi45@gmail.com
+91 9179711777
Mumbai, Maharashtra
Typically reply within 24 hours.