Manoj Jahgirdar

Manoj Jahgirdar

Senior AI Engineer
India
Hindi, English

نبذة عني

Senior AI Engineer with 7 years of experience designing and building scalable distributed systems and production-grade AI systems. Strong background in backend engineering, system design, and applied machine learning, wi…

الخبرة

Senior AI Engineer

IBM Software Labs, IBM India Pvt. Ltd.
Jul 2019 - حتى الآن · 7 سنوات

Architected and delivered a self-service KYC multi-agent AI system performing Customer Due Diligence (CDD), Adverse Media Analysis, and Enhanced Due Diligence (EDD).
Enabled human-in-the-loop approvals.
Reduced KYC processing effort by about 80%.
Designed and built a scalable LLM-powered Text-to-SQL system translating business questions into optimized SQL queries and automated insights.
Led architecture and development of an agentic AI system for financial advisors, integrating LLM services with enterprise backend systems.
Delivered about 3 hours/day productivity gains per advisor.
Built an enterprise conversational AI assistant for banking and insurance customer support using LLMs and RAG.
Achieved about 65% query containment rate.
Developed an LLM-powered SRE Agent to automate on-call workflows, execute runbooks, and resolve common incidents.
Improved SLA compliance by about 25%.
Contributed to agentic AI solutions for project management automation.
Improved PMO productivity by about 60%.

Senior AI Engineer

IBM Software Labs, IBM India Pvt. Ltd.
Jul 2019 - حتى الآن · 7 سنوات

Architected and delivered a self-service KYC multi-agent AI system performing Customer Due Diligence (CDD), Adverse Media Analysis, and Enhanced Due Diligence (EDD), enabling human-in-the-loop approvals and reducing KYC processing effort by about 80%., Designed and built a scalable LLM-powered Text-to-SQL system translating business questions into optimized SQL queries and automated insights, resulting in a multi-million dollar partner opportunity., Led architecture and development of an agentic AI system for financial advisors, integrating LLM services with enterprise backend systems and delivering about 3 hours/day productivity gains per advisor, supporting enterprise deals worth millions, Built an enterprise conversational AI assistant for banking and insurance customer support using LLMs and RAG, achieving about 65% query containment rate and enabling multiple high-value partner deployments., Developed an LLM-powered SRE Agent to automate on-call workflows, execute runbooks, and resolve common incidents, improving SLA compliance by about 25%., Contributed to agentic AI solutions for project management automation, improving PMO productivity by about 60% and supporting partner engagements.

Software Developer Intern

IBM Software Labs, IBM India Pvt. Ltd.
Jan 2019 - Jul 2019 · 6 أشهر

Contributed to a cloud-backed personalized retail application.
Integrated 4 REST APIs.
Delivered over 1,000 product images.
Application was adopted by Middle East retail stakeholders.

Software Developer Intern

IBM Software Labs, IBM India Pvt. Ltd.
Jan 2019 - Jul 2019 · 5 أشهر

Contributed to a cloud-backed personalized retail application, measured by integration of 4 REST APIs and delivery of over 1,000 product images, adopted by Middle East retail stakeholders.

المهارات

AI/ML (Applied): Large Language Models (LLMs) AI/ML (Applied): Agentic AI Systems AI/ML (Applied): Multi-Agent Orchestration AI/ML (Applied): RAG AI/ML (Applied): Prompt Engineering AI/ML (Applied): Text-to-SQL AI/ML (Applied): Human-in-the-Loop Systems AI/ML (Applied): NLP AI/ML (Applied): Supervised & Unsupervised Learning Programming & Backend Engineering: Python Programming & Backend Engineering: Java Programming & Backend Engineering: Go Programming & Backend Engineering: JavaScript Programming & Backend Engineering: RESTful APIs Programming & Backend Engineering: Microservices Programming & Backend Engineering: Object-Oriented Design Programming & Backend Engineering: API Contracts Programming & Backend Engineering: Schema Design Frameworks & Agentic Tools: LangChain Frameworks & Agentic Tools: LangGraph Frameworks & Agentic Tools: CrewAI Frameworks & Agentic Tools: AutoGen Frameworks & Agentic Tools: Google ADK Frameworks & Agentic Tools: FastAPI Frameworks & Agentic Tools: Flask Frameworks & Agentic Tools: Django Frameworks & Agentic Tools: Model Context Protocol (MCP) Frameworks & Agentic Tools: Agent-to-Agent (A2A) ML & CV Libraries: Scikit-learn ML & CV Libraries: OpenCV ML & CV Libraries: YOLO Data & Storage: SQL Data & Storage: NoSQL Data & Storage: MongoDB Data & Storage: PostgreSQL Data & Storage: MySQL Data & Storage: ChromaDB Data & Storage: FAISS Data & Storage: Pinecone Data & Storage: Qdrant Data Science & Visualization: Pandas Data Science & Visualization: NumPy Data Science & Visualization: Matplotlib Cloud & DevOps: AWS Cloud & DevOps: Google Cloud Platform (GCP) Cloud & DevOps: Microsoft Azure Cloud & DevOps: IBM Cloud Cloud & DevOps: Kubernetes Cloud & DevOps: Docker Cloud & DevOps: CI/CD Pipelines Cloud & DevOps: Automation Cloud & DevOps: SRE Practices Managed AI Platforms: Amazon Bedrock Managed AI Platforms: Google Vertex AI Testing: Unit Testing Testing: Integration Testing Testing: CI/CD Testing: Test driven development (TDD) Open-source contribution: Cloud-native toolkit (4 PRs accepted) Open-source contribution: IBM Granite community (1PR accepted) Open-source contribution: ContextForge MCP Gateway (1PR accepted) Professional Skills: Thought Leadership - Guest speaker at IIM Bangalore twice Professional Skills: Presentation skills - 1st place in technical paper presentation twice Professional Skills: Communication - Cambridge Business English - B1 Professional Skills: Technical mentorship - IBM Mentor Professional Skills: External eminence - Participated in Meta-llama hackathon Large Language Models (LLMs) Agentic AI Systems Multi-Agent Orchestration RAG Prompt Engineering Text-to-SQL Human-in-the-Loop Systems NLP Supervised Learning Unsupervised Learning Python Java Go JavaScript RESTful APIs Microservices Object-Oriented Design API Contracts Schema Design LangChain LangGraph CrewAI AutoGen Google ADK FastAPI Flask Django Spring Boot Model Context Protocol (MCP) Agent-to-Agent (A2A) Scikit-learn OpenCV YOLO SQL NoSQL MongoDB PostgreSQL MySQL ChromaDB FAISS Pinecone Qdrant Pandas NumPy Matplotlib AWS Google Cloud Platform (GCP) Microsoft Azure IBM Cloud Kubernetes
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