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Abhinav Singh Kushwaha

AI & Data Engineer | Generative AI, Python & Elasticsearch | Architecting Production-Grade RAG Systems & Real-Time Analytics Solutions

Mumbai Metropolitan Region

2+ years of work experience

Tata Technologies
Dec 20259 moPresent

On-site

Building production-grade GenAI applications for Tata Dealer360(PV), enabling natural language analytics over enterprise data. • Engineered a production RAG platform using LangChain, LangGraph, Qdrant, Elasticsearch, and AWS Bedrock (Claude). • Built an NL-to-Elasticsearch DSL Engine that converts natural language into business-aware analytical queries. • Designed secure AI workflows with RBAC and AST-based query validation for multi-tenant access control. • Led SQL-to-Elasticsearch migration for Tata Customer360(PV) and automated Apache Airflow pipelines, expanding analytics coverage • Reduced manual reporting turnaround time by 90% while automating daily analytical queries.
Tata Technologies
Dec 20241 yr 2 mosJan 2026

Contributed to the Tata Dealer360(PV) enterprise analytics platform by building scalable data pipelines and reporting solutions. • Developed ETL/ELT pipelines using Databricks, PySpark, Apache Airflow, and SQL for enterprise Salesforce data. • Designed Star Schema and Snowflake Schema data models for retail, stock, lead, opportunity, and complaint analytics. • Built analytics dashboards and reporting solutions to improve dealer performance visibility and business decision-making. • Developed Django REST APIs and leveraged the ELK Stack (Elasticsearch, Logstash, Kibana) for search and analytics. • Automated reporting workflows and supported Salesforce data migration initiatives(Ongoing).
IBM
Jun 20232 mosJul 2023

India

Object Recognition for Surveillance: Developed a computer vision model classifying vehicle types (LMV, SMV, Mid-Trucks) in traffic streams for real-time density analysis. Indoor Security Monitoring: Engineered a threat detection module for indoor monitoring, identifying crowd violence and lethal weapons for automated security alerts.
Kamla Bai Charitable Trust
Jul 20212 mosAug 2021

Jaipur

GitHub
@abhinavcs12

Abhinav’s AI Stack

langchain
langchain
langgraph
langgraph
langsmith
langsmith
ollama
ollama
huggingface
huggingface
Langflow
Langflow

Education

UPES

Bachelor of Technology - BTech, Computer Software Engineering

UPES

20204 yrs2024

Senior Secondary School

Jayshree Periwal International School - India

20172 yrs2019

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Headline

AI & Data Engineer | Generative AI, Python & Elasticsearch | Architecting Production-Grade RAG Systems & Real-Time Analytics Solutions

About

AI Engineer with expertise in Generative AI, RAG, Agentic AI, and enterprise analytics. I build production grade AI systems enabling natural language access to enterprise data at scale. With a strong foundation in Data Engineering, I have designed scalable ETL pipelines, modernized analytics platforms, and evolved into building secure, production ready LLM applications with RBAC, vector search, and intelligent workflow orchestration. I enjoy turning complex business challenges into reliable AI solutions that improve efficiency and drive measurable business value. Passionate about continuous learning, I actively explore emerging AI frameworks, evaluate new technologies, and help teams adopt modern AI practices to accelerate innovation.

Location

Mumbai Metropolitan Region

AI stack

langchain

langgraph

langsmith

ollama

huggingface

Langflow

Work experience

AI Engineer at Tata Technologies, Dec 2025 - Present · 9 mo, On-site, Building production-grade GenAI applications for Tata Dealer360(PV), enabling natural language analytics over enterprise data. • Engineered a production RAG platform using LangChain, LangGraph, Qdrant, Elasticsearch, and AWS Bedrock (Claude). • Built an NL-to-Elasticsearch DSL Engine that converts natural language into business-aware analytical queries. • Designed secure AI workflows with RBAC and AST-based query validation for multi-tenant access control. • Led SQL-to-Elasticsearch migration for Tata Customer360(PV) and automated Apache Airflow pipelines, expanding analytics coverage • Reduced manual reporting turnaround time by 90% while automating daily analytical queries.

Data Engineer (GET) at Tata Technologies, Dec 2024 - Jan 2026 · 1 yr 2 mos, Contributed to the Tata Dealer360(PV) enterprise analytics platform by building scalable data pipelines and reporting solutions. • Developed ETL/ELT pipelines using Databricks, PySpark, Apache Airflow, and SQL for enterprise Salesforce data. • Designed Star Schema and Snowflake Schema data models for retail, stock, lead, opportunity, and complaint analytics. • Built analytics dashboards and reporting solutions to improve dealer performance visibility and business decision-making. • Developed Django REST APIs and leveraged the ELK Stack (Elasticsearch, Logstash, Kibana) for search and analytics. • Automated reporting workflows and supported Salesforce data migration initiatives(Ongoing).

Summer Intern at IBM, Jun 2023 - Jul 2023 · 2 mos, India, Object Recognition for Surveillance: Developed a computer vision model classifying vehicle types (LMV, SMV, Mid-Trucks) in traffic streams for real-time density analysis. Indoor Security Monitoring: Engineered a threat detection module for indoor monitoring, identifying crowd violence and lethal weapons for automated security alerts.

Summer Intern at Kamla Bai Charitable Trust, Jul 2021 - Aug 2021 · 2 mos, Jaipur

Education

Bachelor of Technology - BTech, Computer Software Engineering, UPES

Senior Secondary School, Jayshree Periwal International School - India

Public links

github: https://github.com/abhinavcs12