Anish Arya

Senior AI Engineer @ NTT DATA, Inc.

About

Senior AI Engineer at NTT DATA (Nippon Group) leading a team of 6, with around 8 years across software development, analytics, and Generative AI. MSc in Mathematical Modelling and Machine Learning (University College Cork). Experienced in building scalable ML systems, deploying production-grade models, and partnering with stakeholders to deliver measurable business impact. Currently upskilling in DevOps for AI (Skillfyme, started Jan 2026). With 4 years in software engineering and about 4 years in analytical science and AI engineering, Anish brings a unique blend of technical expertise and analytical problem-solving to the table. • Technical Skills: Python, Git, LangChain, LangGraph, LangSmith, LLM, MCP, Pytest, Pydantic, PyTorch, Machine Learning, Deep Learning, Pandas, Numpy, Generative AI, RAG, prompt engineering, Pinecone vector database, BigQuery SQL, RESTful APIs, Local LLM inference such as Llama and Ollama, microservices concepts, model serving, statistical modelling, hypothesis testing, A/B testing mindset, Data Visualization, Power BI, dashboards/KPIs, Docker, Kubernetes, CI/CD fundamentals, Monitoring/Logging basics, Calculus, Linear Algebra, Probability, Optimization. • Design Skills: Statistical Modelling and Hypothesis Testing, Optimization, Calculus, Linear Algebra, Test Driven Development, Data Visualization, Object-Oriented Programming, Machine Learning and Deep Learning Architectures, and Design Patterns. • Soft Skills: Adaptability, Time Management, Problem Solving, and Effective Communication.

Country

City

India

Industry

Computer Software

Skill

AIML, Statistical Modeling, Statistical Data Analysis, Project Management, Software Development Life Cycle (SDLC), Software Development, Artificial Intelligence (AI), Design and Analysis, Project Planning, Content Development, Moderator, Git, Python (Programming Language), Machine Learning, Microsoft Power BI, MongoDB, NoSQL, SQL, Statistics, Data Science

Experience

Senior AI Engineer

NTT DATA, Inc.

2025-5 - Present · 1 yr 5 mos

India

• Lead a 6-member delivery team building deep analytics pipelines and GenAI capabilities with tests using Pytest and Pydantic for client’s yard shipment operations, translating business requirements into production-ready solutions. • Implement a governed RAG/LLM workflow based “Ask the Data” layer using Python, PyTorch, LangChain, LangGraph, and LangSmith over structured and semi-structured enterprise data; engineer chunking, embeddings, retrieval, and prompt templates to return structured outputs (JSON/tables) with traceability to source data. • Optimized transformations via vectorization and memory profiling, processing multi-million row BigQuery extracts using chunked/batch execution. • Integrate analytics and GenAI services via RESTful APIs and microservices patterns; manage code and patches with Git/GitHub, and support delivery with Docker, Kubernetes, CI/CD fundamentals, logging/monitoring, and stakeholder KPI visibility through dashboards. • Authored complex SQL with joins, aggregates, and window functions; optimized BigQuery performance via partitioning/clustering-aware queries and cost controls.

Manager – Data Scientist FM3 - Fortune Park

ITC Limited

2022-12 - 2024-7 · 1 yr 8 mos

• Led an NLP-driven customer experience program, designing a ternary sentiment classification (positive/neutral/negative) using text preprocessing, tokenisation, feature engineering, and model evaluation (precision/recall/F1), delivered in 3 months and improved repeat customers by 5 %. • Developed an in-house Python analytics solution to automate ETL/data pipelines, consolidating multi-source revenue and finance data for 50+ hotels, improving data quality and reporting turnaround. • Built Power BI dashboards with statistical KPI tracking, trend/variance analysis, cohort-style views, and drill-down reporting to support revenue, finance, and operations stakeholders.

Data Science Analyst

Accenture

2021-11 - 2022-12 · 1 yr 2 mos

• Streamlined 100 % of the Business Intelligence reports such as Retail Value Tracking, B-B Pricing, and Price Variation across products using Power BI. • Created 7 Business Intelligence reports for a giant CPG client, improving data processing and reporting efficiency with KNIME and Power BI.

IT Analyst - Software Engineering

Markus Solution s

2017-7 - 2021-10 · 4 yrs 4 mos

• Collaborated as a software development team member to build and maintain the full-stack application “COSYS Intelligent Systems” for an ITES client, using the company framework built on Spring Boot and the MEAN stack. • Implemented backend services and UI features, wrote unit/integration tests, and helped achieve ~81% code coverage through test-driven improvements and peer code reviews.