Akshat Shaw

AI Researcher

Varanasi, Uttar Pradesh, India3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Agentic AI and multi-agent orchestration.
Developed scalable AI solutions with FastAPI.
Achieved >90% accuracy in natural language query conversion.

Stackforce AI infers this person is a Backend-heavy AI Engineer specializing in scalable intelligent systems.

Contact

akshaw.ak4@gmail.com LinkedIn

Skills

Core Skills

Agentic Ai DevelopmentFastapi Backend ArchitectureProfessional Mentoring

Other Skills

AWSAgent Development KitAgent Orchestration SystemsData ScienceDeep LearningEngineeringFastAPI Backend DevelopmentLarge Language Models (LLM)MCPMachine LearningNatural Language Processing (NLP)PostgreSQLPyTorch & Deep LearningPython (Programming Language)Redshift

About

Transforming Data into Intelligent Systems | 3x Kaggle Expert | Agentic AI Specialist I'm a passionate AI engineer specializing in Agentic AI systems and multi-agent orchestration, with deep expertise in building intelligent backends that bridge natural language and structured data. My recent focus on Model Context Protocol (MCP) implementations and FastAPI-powered microservices has enabled me to create scalable AI solutions that understand and execute complex natural language queries. Core Expertise: Agentic AI Development: Designing autonomous AI agents with decision-making capabilities Multi-Agent Orchestration: Building systems where multiple AI agents collaborate seamlessly Natural Language to SQL: Creating intelligent query translation systems that convert human language into precise database operations FastAPI Backend Architecture: Developing high-performance, scalable API endpoints for AI applications Model Context Protocol (MCP): Implementing standardized communication layers for AI model interactions

Experience

Indian institute of technology, roorkee

SPARK'25 Intern

May 2025 – Present · 10 mos · Roorkee, Uttarakhand, India · On-site

Research Project On Time-series based data

Boring workflows

AI Engineer

Apr 2025 – Present · 11 mos · Remote

Architected and deployed an enterprise-grade Agentic RAG system with MCP integration, converting natural language queries to optimized SQL with >90% accuracy, processing 1,000+ daily queries and reducing data analysis time from days to minutes.
Developed comprehensive FastAPI backend on AWS (EC2, S3, RDS) integrating PostgreSQL/Redshift databases, with automated CSV generation and export functionality for seamless data delivery to business teams.
Developed a fully autonomous MCP-enabled legal assistant chatbot using Google's Agent Development Kit (ADK), automating client management, work logs, and invoice generation through WhatsApp integration.
Led complete system architecture design and backend development for both projects, implementing scalable microservices handling 10,000+ concurrent users while maintaining <700ms response times across distributed AWS infrastructure.

MCPFastAPI Backend DevelopmentRetrieval-Augmented Generation (RAG)Agent Orchestration SystemsSQLAgentic AI Development+1