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AI Research Engineer with 1+ years in GenAI Systems & Machine Learning
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AI/ML Software Engineer who builds with AI, not just about it. Aakash has 1.7 years of experience shipping production GenAI systems, from multi-agent orchestration workflows to LLM-powered RCA engines and agentic customer support. He is skilled in leveraging AI coding agents for accelerated development, reducing delivery time by 50%. Aakash designs and deploys MCPs for enterprise integrations, RAG pipelines, and real-time ML systems that solve actual business problems, and is MCP-certified via Anthropic Academy.
University Institute of Technology, RGPV Bhopal
B.Tech · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Rakuten Symphony
AI/ML Engineer – CTO Team
October 1, 2024 – Present
Indore, Madhya Pradesh, India
Valuebound
Software Engineering Intern
June 1, 2024 – September 1, 2024
Indore, Madhya Pradesh, India
Refund Bot - Agentic Customer Support System
January 1, 2024 – December 31, 2024
Built a multi-turn agentic customer support system using LangGraph to handle secure refund workflows with intent-based routing, conditional edges, and stateful conversation management across dynamic user flows. Integrated Gemini and Groq as LLM backends with FastAPI for low-latency inference and Redis for session state persistence, enabling reliable multi-turn context handling across concurrent users. Implemented intent detection and structured response generation ensuring agents respond accurately to refund requests, policy queries, and escalation triggers with deterministic output formats. Designed a custom evaluation framework measuring response faithfulness, intent accuracy, and resolution rate — enabling systematic quality improvement across agent workflows.
View ProjectFit Genie - AI Fitness & Wellness Platform
January 1, 2024 – December 31, 2024
Scaled and optimized production-grade LangChain-based RAG React + FastAPI architecture with modular services and async APIs for multiple wellness workflows. Implemented an AI nutrition analysis pipeline using LangChain and ChromaDB to extract calories, protein, and macronutrients from food inputs with semantic retrieval.
Lask.AI - AI Code Assistant
January 1, 2024 – December 31, 2024
Built a published VS Code AI extension for contextual code generation, debugging, and explanation using workspace-aware indexing. Improved response relevance by 40% using a hybrid retrieval pipeline with FAISS embeddings, metadata filters, and prompt engineering.
Model Context Protocol
Anthropic Academy
June 1, 2026 – Present
Generative AI with LangChain & HuggingFace
Krish Naik, Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects like 'Fit Genie' and 'Refund Bot', demonstrates initiative and a broad interest in applying AI to various domains. The experience at Rakuten Symphony in an AI/ML Engineer role within the CTO team, coupled with an internship at Valuebound, shows adaptability across different organizational structures. The listed technical skills are extensive and cover a wide range of modern AI/ML and distributed systems technologies, indicating a strong desire for continuous learning and skill development, which aligns well with an innovative and fast-paced environment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience at Rakuten Symphony indicate a strong focus on problem-solving, optimizing for latency and cost, and ensuring operational safety through human-in-the-loop processes. The emphasis on evaluation frameworks (RAGAS) suggests a data-driven and quality-conscious approach. The ability to contribute to CTO-led initiatives implies a capacity for strategic thinking and collaboration.