ANUDESH VANDAN
AI/ML Engineer GenAI & Multi-Agent Systems
Delhi, India +91-768******* ***********@*****.*** linkedin.com/in/anudesh-vandan PROFESSIONAL SUMMARY
Results-driven AI/ML Engineer with 3 years of experience, including 2+ years at Accenture deploying production-grade GenAI and multi- agent systems for global enterprise clients. Expert in end-to-end AI application development from hypothesis formulation and rapid prototyping through rigorous testing. Deep hands-on experience with LLM orchestration, RAG pipelines, prompt engineering, agentic workflows, and cloud-native deployments on GCP. Proven track record of owning cross-functional delivery across backend systems, data pipelines, and AI agents shipping scalable, secure, and cost-efficient solutions under real production constraints. CORE COMPETENCIES
Multi-Agent AI Systems LLM Orchestration Prompt Engineering RAG Pipelines Model Deployment Agentic Workflows MLOps / CI-CD for AI Feature Engineering NLP / NLU Computer Vision GCP SAP Integration Graph Databases (Neo4j) Data Engineering Technical Mentorship TECHNICAL SKILLS
AI/ML & GenAI: LangGraph, Agentic AI, LLM Orchestration, RAG Pipelines, Prompt Engineering, TensorFlow, Deep Learning, LSTM/GRU, NLP/NLU, Computer Vision (Object Detection & Segmentation) Frameworks & Agents: LangChain, LangGraph, Agentforce SDR, FastAPI, WebSockets Cloud & Big Data: GCP (BigQuery, Dataflow, Dataproc, Data Fusion), Databricks, Neo4j, AlloyDB Programming: Python, SQL, R
Backend & DevOps: FastAPI, REST APIs, Git, Azure DevOps, SAP Integration, CI/CD Pipelines Tools: Tableau, Jupyter Notebook, LabelImg, LabelMe, Salesforce CRM Analytics WORK EXPERIENCE
AI/ML Engineer Accenture Gurugram, India Apr 2024 – Present Account Agent – Sales Pipeline Management (SPM)
● Designed and iteratively refined system instructions and guardrail prompts for a multi-agent orchestration platform, enabling real-time pipeline insights from MMS opportunity data and MMB financial metrics.
● Engineered a Pipeline Hygiene Evaluation module with 3 prompt-driven rules (Missing Field, Stale Close Date, Stage Incomplete), HIGH/MEDIUM severity classification, and confidence scoring requiring zero backend code changes.
● Conducted end-to-end prompt validation across 18 test cases, resolving false-positive flags and schema mismatches ahead of production release; coordinated with frontend and backend teams for seamless Angular rendering. C2C – Internal Agentic AI Project
● Owned end-to-end migration of a production Agentic AI codebase from proprietary AI Refinery SDK to LangGraph, improving system scalability by 40% and significantly reducing orchestration debugging time.
● Redesigned a monolithic Author Agent into decoupled Request/Response agents with intermediate state persistence on GCP, enabling parallel workflow execution and full auditability for the first time.
● Engineered a Success Handling Agent to orchestrate workflows between MME and SAP with RBAC and WBS-based locking reducing data-consistency incidents to zero post-deployment.
● Led unit test generation initiative that raised test coverage from near-zero to production-standard levels, directly improving pipeline reliability ahead of a major client release. Agentforce SDR – Email Automation (Spotify Client)
● Designed and deployed AI-driven email outreach automation using Agentforce SDR, contributing to measurable improvements in lead engagement rates for Spotify's campaigns.
● Refined prompt engineering strategies that improved AI-generated email relevance and personalization quality, reducing manual editing effort by 60%.
SKU Extraction Optimization (Fletcher Client)
● Optimized LLM-powered SKU extraction pipelines through prompt and query restructuring, improving extraction accuracy by 25% and throughput for high-volume product catalogs.
● Produced structured performance reports tracking accuracy and cost-per-query, providing the client with clear ROI visibility directly informing MLOps and cost-optimization decisions. AI Refinery – Extended KYC Jumpstarter
● Built backend APIs and system integrations for KYC compliance workflows, enabling end-to-end AI-driven data processing for a regulated financial use case.
● Resolved critical integration bugs during end-to-end testing, directly unblocking production readiness and on-time delivery.
● Served as cross-team liaison across AI Refinery, backend, and automation groups keeping delivery on schedule across a 3-team effort.
Computer Vision – Data Annotation (Transnet Client)
● Delivered high-accuracy object detection annotations (LabelImg) and pixel-level segmentation datasets (LabelMe) used to train production computer vision models.
● Identified and resolved systematic workflow inefficiencies, reducing rework rate and improving annotation throughput across the team.
Junior Data Scientist Pletra Technologies Pune, IndiaJan 2023 – Dec 2023
● Built and maintained revenue forecasting datasets from multiple sources; developed time-series models (TensorFlow, LSTM, GRU) that outperformed baseline models, informing strategic business decisions.
● Applied statistical analysis to identify key business drivers and formulated actionable recommendations for stakeholders practicing the hypothesis-driven, stakeholder-facing approach central to data science. EDUCATION
B.Tech – Computer Science & EngineeringCGPA: 8.45 2019 – 2023 Sagar Institute of Research and Technology
CERTIFICATIONS
● Microsoft Certified: Agentic AI Business Solution Architect Expert – AB-100 (2026)
● Microsoft Certified: Azure AI Apps & Agents Developer Associate (2026)
● Microsoft Certified: AI Business Professional (2026)
● Databricks Certified Machine Learning Associate (2026)
● Databricks Certified Data Engineer Professional (2026)
● Neo4j Certified Professional (2026)
● Claude Certified Architect (2026)
● AWS Certified Machine Learning Associate (2026)
● Neo4j Graph Data Science Certification (2025)
● Databricks Certified Generative AI Engineer Associate (2025)
● Databricks Certified Data Engineer Associate (2025)
● Google Cloud Certified Associate Data Practitioner (2025)
● Salesforce Certified AI Associate (2024)