Forward Deployed Engineer AI |GenAI | Agentic AI | AI Consultant

Pune District, Maharashtra, India

Pune District, Maharashtra, India

Bengaluru, Karnataka, India

Pune Division, Maharashtra, India

Virtual Internship


































Master of Science - MS
Liverpool John Moores University

Executive Program in ML and AI
International Institute of Information Technology Bangalore
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As a passionate AI Engineer at IBM India, I specialize in architecting enterprise-grade AI systems, including multi-agent frameworks, Retrieval-Augmented Generation (RAG) pipelines, and autonomous AI agents that drive intelligent automation at scale. With deep expertise in Generative AI, NLP, and cloud-native architectures, I build production-ready AI solutions that transform complex business challenges into measurable outcomes. At IBM, I design and deploy advanced agentic systems leveraging AWS Bedrock, Azure AI Foundry, LangChain, AutoGen, and enterprise LLM ecosystems (OpenAI, Anthropic, and domain-specific models). My focus lies in building scalable, secure, and responsible AI systems that integrate seamlessly with enterprise data sources while ensuring governance, transparency, and compliance. Previously at ACL Digital and Metyis, I delivered impactful AI and analytics solutions across healthcare, e-commerce, and marketing domains—optimizing marketing spend, improving forecasting accuracy, and building intelligent automation tools that enhanced decision-making efficiency. My key strengths include: • Architecting multi-agent AI systems for enterprise automation and reasoning workflows • Designing scalable RAG pipelines with embeddings, vector databases, and contextual grounding • Building secure NLP-to-SQL AI agents with role-based access control • Developing cloud-native AI solutions on AWS and Azure with end-to-end MLOps pipelines • Implementing Responsible AI practices including governance, fairness, and observability • Driving measurable business impact through advanced analytics, forecasting, and experimentation I am deeply passionate about pushing the boundaries of Agentic AI and Generative AI, and I actively collaborate with cross-functional teams to translate complex business problems into scalable, production-ready AI systems. Always open to meaningful collaborations and high-impact AI initiatives that shape the future of intelligent automation.
Pune District
aistudio
anthropic apis
antigravity
claude code
claude
codex
cursor
deepmind
elevenlabs
gemini
geminicli
github copilot
grok
hermes agent
hugging face
kilocode
langchain
langgraph
langsmith
lovable
manus
mcp
meta
midjourney
n8n
notebooklm
notion
ollama
openai
opencode
perplexity
railway
replit
Data Scientist - Artificial Intelligence at IBM, Sep 2025 - Present · 11 mos, Pune District, Maharashtra, India
Senior AI engineer at ACL Digital, Sep 2024 - Sep 2025 · 1 yr 1 mo, Pune District, Maharashtra, India
Data Scientist at Metyis, Sep 2021 - Sep 2024 · 3 yrs 1 mo, Bengaluru, Karnataka, India, -Led advanced analytics projects, providing technical expertise to derive actionable business insights. -Enhanced sales across retail, wholesale, and e-commerce sectors by implementing data preprocessing techniques. -Improved machine learning model metrics by refining various use cases. -Increased stakeholder process efficiency by 80% through the implementation of intuitive dashboards. -Optimized ad spend efficiency by 5% and achieved a 20% growth in channel-specific returns. -Utilized Azure Services and Azure Databricks for scalable data solutions.
Data Science -Trainee at SG Analytics, May 2021 - Aug 2021 · 4 mos, Pune Division, Maharashtra, India, -Analyzed and generated KPI reports for real-time monitoring of daily viewership on the OTT platform. -Developed KPIs that drove management insights, resulting in actionable execution strategies. -Created algorithms to predict customer churn rates, enhancing show recommendations by 2%.
KPMG Data Analytics Consultant Internship at KPMG Australia, Apr 2021 - Apr 2021 · 1 mo, Virtual Internship, -Conducted customer segmentation for marketing campaigns, identifying top 1000 potential customers based on demographic and behavioral patterns.
Master of Science - MS, Liverpool John Moores University
Executive Program in ML and AI, International Institute of Information Technology Bangalore
github: https://github.com/nikhilshinde08