Ajay Jangid

About Ajay Jangid

Ajay is a highly skilled Senior Data Scientist with expertise in Gen ai, Agentic AI, Voice AI, Natural Language Processing (NLP), Recommendation Systems, and Information Retrieval (IR). He is also an experienced practitioner of Statistical Modeling and implementing ML solutions for specialized use cases in both B2C and B2B domains.Currently, Ajay works as a Senior Data Science Manager at top Indian Bank where he leads the development of Gen AI in banking domain, NLP search-based, Information retrieval, and recommendation systems, leveraging his expertise in Gen Ai, Deep Graph Neural Networks and NLP. Ajay firmly believes in the power of data-driven insights and the potential of machine learning to transform industries.Technical skills include – • Programming Languages – Python (scikit-learn, gensim, Numpy, spaCy, NLTK, Bokeh, Beautiful Soup, Matplotlib, SciPy, Pillow)• Deep Learning – TensorFlow, Keras, PyTorch, fast.ai• Big Data and Containers – Apache Spark, Docker, Kubernetes (basic)• Databases & QL– AWS Redshift, Elasticsearch, MongoDB, MySQL, Google Cloud SQL• Statistical Tools and ML Algorithms – Regression, Dimensionality Reduction, Tree-Based Methods, Unsupervised and supervised ML, CNN, LSTM, NLP (word2vec, doc2vec, BERT, ALBERT), Natural Language Generation (Hugging Face)• Development Tools – Git, JIRA, langchain, langgraph, crew ai. Interests: Generative AI, Agentic AI, Search-based, Deep Graph Neutral Networks, Natural Language Processing (NLP), Recommendation systems, Information Retrieval (IR), and Information Extraction.Email - j••••••••@gmail.com

Experience

1. Senior Data Science Manager

   Axis Bank

   Jun 2023 — Present

   Leading end-to-end development of enterprise GenAI platforms in banking — designing and deploying production-grade AI systems across Voice AI, agentic workflows, and enterprise automation. Driving digital transformation by integrating LLMs into core banking processes, reducing operational cost, turnaround time, and vendor reliance.Building Voice AI solutions for call-center automation leveraging batch + near real-time ASR, NLU/NLP pipelines, LLM-driven dialog orchestration, intent classification, sentiment analysis, and automated resolution systems. Architecting secure streaming + inference pipelines with latency-optimized workflows, evaluation frameworks, and feedback loops.Implementing agentic AI architectures using CrewAI/LangChain to automate business workflows, including:• Text-to-SQL agents for analytics automation with SQL validation, schema grounding, and query consistency checks• Email automation agents for triage, summarization, response drafting, and workflow orchestration• Risk & Compliance AI for document intelligence, regulatory mapping, exception handling, and audit trailsDeveloping RAG pipelines with vector databases (Pinecone/Weaviate/Chroma/kendra), knowledge graphs, hybrid search, guardrails, and domain-grounded retrieval (+hallucination control, eval & safety gates).Owning MLOps + LLMOps lifecycle, including CI/CD, prompt versioning, evaluation metrics, observability (LLM traces, latency/accuracy dashboards), and secure deployment on cloud & on-prem infra (Azure/AWS + Kubernetes). Handling data privacy, role-based access, PII masking, and compliance-driven AI governance.Driving in-house GenAI capability building for marketing, automating campaign generation, personalization, content production workflows, and performance analytics — significantly reducing external vendor spend and enabling scalable internal GenAI adoption.

Education

• Shree L. R. Tiwari College of Engineering.

  Bachelor of Engineering, Electronic and telecommunication engineering

  2014 — 2018

• R. D. National College

  HSC

  2012 — 2014

• Birla Institute of Technology and Science, Pilani

  M.Tech, Artificial Intelligence & Machine Learning

  2022 — 2024

• Applied Ai

  Machine learning

  2018 — 2019

• S.t Francis high School

  SSC

  2008 — 2012