Niranjan Ghadei — AI Researcher

I’m an AI & ML Engineering Leader with a decade of experience building and scaling Agentic AI, Generative AI, and enterprise-grade ML platforms. I specialise in delivering 0→1 AI systems, shaping cross-functional strategy, and guiding engineering, product, and business teams toward AI-first transformation.I operate at the intersection of deep hands-on engineering and executive-level strategy, influencing Director/VP roadmaps and elevating AI maturity across large organisations.What I Do • Build 0→1 Agentic AI systems that automate complex enterprise workflows (e.g., Merchandising Assistant improving merchandising outcomes; Marcus NL2SQL reducing insight turnaround from weeks to seconds). • Drive cross-org AI strategy, shaping long-term product and engineering direction. • Lead multi-team execution, setting technical vision, removing blockers, and enabling high-velocity delivery. • Architect production-grade GenAI/RAG platforms with strong reliability, retrieval design, evaluation, and MLOps foundations. • Mentor teams in LLM engineering, scalable ML, and agentic design patterns.Technical Leadership • Designed multiple high-impact Agentic AI solutions across retail, finance, and cloud ecosystems. • Built enterprise-grade RAG, vector search, and multimodal LLM applications (OpenAI, Llama 3, Cohere). • Delivered systems that improved business metrics across anomaly detection, fraud, credit risk, and merchandising.I’m passionate about building the next generation of Agentic AI ecosystems and helping enterprises transition toward scalable, AI-driven decision-making.

Stackforce AI infers this person is a leader in AI-driven solutions for E-commerce and Fintech industries.

Location: Bengaluru, Karnataka, India

Experience: 15 yrs 5 mos

Skills

Generative Ai
Ai Agents
Large Language Models (llm)
Machine Learning

Career Highlights

Expert in building scalable Agentic AI systems.
Led cross-functional AI strategy at Walmart.
Innovative solutions in finance and e-commerce sectors.

Work Experience

Walmart

Staff Data Scientist (1 yr 4 mos)

Oracle

AI solutions architect (lead data scientist) (3 yrs 7 mos)

JPMorgan Chase & Co.

Senior Data Scientist (Associate Vice President) (2 yrs 4 mos)

IMS Health

Machine Learning Engineer (2 yrs 5 mos)

Philips

Associate (2 yrs)

HCL Technologies

Software Engineer (3 yrs 9 mos)

Education

Master of Science - MS at Liverpool John Moores University

Bachelor of Engineering (B.E.) at CMR Institute Of Technology

Post Graduation in Machine Learning and AI at International Institute of Information Technology Bangalore

Niranjan Ghadei

AI Researcher

Bengaluru, Karnataka, India15 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable Agentic AI systems.
Led cross-functional AI strategy at Walmart.
Innovative solutions in finance and e-commerce sectors.

Stackforce AI infers this person is a leader in AI-driven solutions for E-commerce and Fintech industries.

Contact

Skills

Core Skills

Generative AiAi AgentsLarge Language Models (llm)Machine Learning

Other Skills

Artificial Intelligence (AI)Data ScienceMLOpsAgentic AIgenaiopensearchVector DatabasesBig DataHadoopHiveSqoopSQLMySQLBig Data AnalyticsMapReduce

About

Experience

15 yrs 5 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr 4 mos

Current Experience

Walmart

Staff Data Scientist

Jan 2025 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India

Driving the end-to-end strategy and development of Walmart’s next-generation Agentic + GenAI platform for e-commerce payments, shaping the technical vision, platform architecture, and long-term AI roadmap for intelligent transaction analysis and automated decisioning at scale.
Conceived and led the 0→1 creation of Merchandising Assistant, an Agentic AI system that reimagines APL coverage and merchandising workflows, delivering multi-million-dollar business impact through automation, improved accuracy, and accelerated decision velocity.
Established the foundational RAG, LLM orchestration, and multi-agent platform architecture powering real-time financial and merchandising intelligence across multiple business units.
Influenced Director/VP-level product and engineering strategy, aligning cross-functional teams around a unified AI platform vision and driving organisational adoption of Agentic AI patterns.
Elevated organisational AI maturity by defining best practices in LLM engineering, evaluation, and scalable ML, while mentoring teams to build high-reliability enterprise AI systems.

Generative AILarge Language Models (LLM)AI AgentsArtificial Intelligence (AI)Data ScienceMLOps+2

Oracle

AI solutions architect (lead data scientist)

Jun 2021 – Jan 2025 · 3 yrs 7 mos · Bangalore Urban, Karnataka, India

Created and implemented ML solutions using LLM, generative AI and NLP
Implemented end to end Sales assistant chantbot using generative AI, RAG, langhchain, lang graph and vecor database.
Implemented Log assistant Chatbot using GenAI, RAG, Prompt Engineering and Opensearch
Implemented Portfolio Recommendation using GenAI, Prompt Engineering and LLM
Implemented Text to Sql generation using GenAI , RAG and LLama2, PEFT
Fine-tuned LLM on GPU to improve LLM performance using PEFT and LORA
Document Summarization using genAI and LLM
Renewable energy power prediction using ML, spark-ml, gradient boosted trees and MLOps
Credit card fraud detection using gradient boosted trees

genaiLarge Language Models (LLM)MLOpsopensearchVector DatabasesGenerative AI

Jpmorgan chase & co.

Senior Data Scientist (Associate Vice President)

Jan 2019 – May 2021 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Strong hands-on experience in building ML models for finance domain.
Build and deployed Fraud detection model using XGBoost and NLP for finance usecase under JPmorgan flagship ML program.
Build and deployed ML model for credit risk assessment .
received Innovation award

Ims health

Machine Learning Engineer

Aug 2016 – Jan 2019 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Strong machine learning experience along with big data consultation. Extensive experience in data science, spark, python, scikit-learn, spark streaming, kafka,hive, hadoop and other big data technologies. passoinate about big data anlytics and machine learning with analytic bend of mind.

Philips

Associate

Jul 2014 – Jul 2016 · 2 yrs · Bengaluru Area, India

Big data, Hadoop Analytics using Hive. Scala, Apache Spark, Spark Streaming, Spark Sql, kafka.
well experienced in designing and developing Big Data Analytics platform using Spark. Also have successfully implemented lambda architucture using apache spark. Have worked on cloudera and hortornworks platform.