---
title: "Pawan Prasad - LLM Engineer Senior Manager in Delhi | Tal"
description: "Meet Pawan Prasad, LLM Engineer | GenAI & Legal AI | RAG · Agents · LLMOps | BCG based in Delhi. AI stack includes antigravity, opencode, and claudecode."
image: "https://tal.club/meet/pawan-prasad/share-image"
---

# Pawan Prasad on Tal

## Headline

LLM Engineer \| GenAI &amp; Legal AI \| RAG · Agents · LLMOps \| BCG

## About

GenAI and LLM Engineering Leader with 10\+ years of software engineering and AI experience, currently building production\-grade AI systems at BCG\. Expert in LLM application development, RAG pipelines, agentic architectures, and the OpenAI API and Cluade ecosystem\. Hands\-on builder of legal AI applications, domain\-adapted models, and high\-availability AI services\. Proven technical advisor — accelerating teams from ideation to production, synthesising product feedback, and publishing best practices\. Proficient in Python, LangChain, LlamaIndex, Promptfoo, and LLMOps\. Passionate about startups and building AI products that create outsized business value\.

## Location

Delhi

## AI stack

antigravity

opencode

claudecode

## Work experience

LLM Engineer Senior Manager at Boston Consulting Group \(BCG\), Sep 2025 \- Present · 1 yr, Gurugram, GenAI and AI Engineering leader driving enterprise\-scale AI transformation within Legal operations\. Responsible for leading the design, development, and deployment of Generative AI solutions to modernize and automate legal workflows\. I build scalable, production\-grade AI products and embed them into core business processes\. • End\-to\-end ownership of Generative AI solutions \(architecture, development, deployment\) • Large Language Models \(LLMs\) fine\-tuning and domain adaptation • Legal AI applications \(contract analysis, document intelligence, knowledge retrieval\) • Retrieval\-Augmented Generation RAG pipelines • Agentic AI architectures and multi\-agent systems • LangChain, LlamaIndex, vector databases • Prompt engineering and model evaluation frameworks • LLMOps / MLOps, CI/CD for AI systems • AI monitoring, guardrails, hallucination mitigation • Enterprise AI governance, data security, compliance • Cross\-functional collaboration with Product, Digital, and Engineering teams • Mentoring engineers across AI and data disciplines

Data Engineering Manager at Boston Consulting Group \(BCG\), Nov 2023 \- Sep 2025 · 1 yr 11 mos, Hybrid

Senior Data Engineer at Boston Consulting Group \(BCG\), Sep 2021 \- Nov 2023 · 2 yrs 3 mos, Gurugram, Haryana, India, In my role at BCG, I play a role in designing and managing data transformation pipelines using tools like dbt, Snowflake, Python, and Airflow, thereby improving data ingestion and processing efficiency significantly\. Supporting BCG’s cross\-functional analytics product development by fostering seamless data integration and availability, contributing to the advancement of AI and analytics capabilities within the firm\. Develop and deploy solutions with Fivetran, Python, and AWS Lambda for integrating external applications through API ingestion, enhancing data connectivity\. Build and maintain complex data pipelines with Airflow, showcasing strong technical skills in data integration and improving workflow efficiency\. Actively participate in BCG’s GenAI initiatives like GitHub Copilot, leveraging AI to bolster code development processes and drive innovative solutions\. Provide leadership and guidance to a team of data engineers, ensuring projects are completed on time, within scope, and meet high\-quality standards\.

Data Engineer Senior Analyst at Accenture, Apr 2020 \- Aug 2021 · 1 yr 5 mos, Gurugram, Haryana, India, Collaborated with a US banking client to develop in\-house ETL products for data lineage using Python, achieving key objectives in regulatory report accuracy and compliance\. Engineered and deployed ETL integration patterns using Python to ingest data from diverse sources including Oracle, MongoDB, Excel sheets, APIs, and Kafka, meeting key results in data integration and real\-time processing, subsequently improving processing time by 2x and 60% platform cost saving\. Partnered with Business Analysts to grasp business requirements and evaluated project timeline feasibility, aligning project deliverables with organizational OKRs\. Designed and instituted change data capture and incremental load strategies for new data ingestion patterns, contributing to key objectives of enhanced data processing efficiency, achieving a 5x improvement in data load times\. Executed data processing and graph data processing using Python scripts with the Networkx package, meeting the critical result of streamlined data flow and analysis\. Implemented machine\-learning algorithms to curate and auto\-tag data, achieving key results in data organization and discoverability which drove objective attainment in data management efficiency\. Conducted data quality analysis and data profiling using PySpark \(Databricks\), ensuring data accuracy and reliability, aligning with the key result of improved data quality\. Configured Airflow as an orchestration tool, and led training sessions to upskill team members, establishing development and deployment processes that streamlined project workflows and met organizational OKRs for team competency and project delivery efficiency

Senior Analyst at Sopra Steria, Jan 2018 \- Apr 2020 · 2 yrs 4 mos, Noida Area, India, • Contributed to the data management process for a German Bank by creating Informatica ETL mappings\. • These mappings extracted, transformed, and loaded data into the data warehouse, supporting web\-based analytics applications\. Optimized ETL pipelines and SQL queries within an Oracle database, improving data processing efficiency and query performance\. • Leveraged SQL queries for in\-depth data analysis and validation, ensuring data accuracy and reliability\. • Utilized Python to extract data from various APIs and load it into BigQuery tables, facilitating efficient data storage and retrieval\. • Applied Principal Component Analysis \(PCA\) to reduce the dimensionality of high\- dimensional data, enhancing data processing efficiency and ML model performance\. Conducted data analysis using Python and machine learning algorithms, providing valuable insights and data\-driven solutions for the organization\.

Software Engineer at LexisNexis, Nov 2016 \- Jan 2018 · 1 yr 3 mos, Gurgaon, Haryana, India, Played a pivotal role in supporting and enhancing the content conversion platform, utilizing Informatica and Python to improve data processing capabilities\. Developed Python modules to transform data within flat files and processed unstructured data, enhancing data quality and usability\. Created and maintained an optimal data pipeline architecture, ensuring efficient data flow and transformation\. Demonstrated expertise in writing complex SQL queries to analyze and troubleshoot issues within the data pipeline, ensuring data accuracy and reliability\. Crafted Python transformation scripts to parse JSON and XML data, enabling structured data extraction and processing\.

Programmer Analyst at Cognizant, Jun 2015 \- Nov 2016 · 1 yr 6 mos, Kolkata, West Bengal, India, Proficiently interpreted ETL specifications and successfully developed ETL pipelines in Informatica, ensuring seamless data processing\. Transformed existing C\+\+ and PL/SQL code into ETL mappings, enhancing code efficiency and integration within the ETL framework\. Writing the SQL for unit testing and peer code testing\. Utilized Java with Apache POI in Informatica JAVA transformation to craft custom\- formatted reports tailored to the specific needs of business users, improving data presentation and accessibility\.

## Education

Master of Technology, Computer Software Engineering, Birla Institute of Technology and Science, Pilani

B\.Tech; UPTU, Electrical, Electronics and Communications Engineering, Dr\. A\.P\.J\. Abdul Kalam Technical University

[View the original profile](https://tal.club/meet/pawan-prasad)

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