Daksh Mathpal

About Daksh Mathpal

An avid professional, keen learner, and self-driven individual with over 7 years of hands-on experience, adept at utilizing various tools and technologies to drive organizational growth- RAG Pipeline Implementation: Spearheaded the design and deployment of Retrieval-Augmented Generation (RAG) pipelines, including setup and integration of VESPA vector databases, chunking strategies, embedding setup, and retrieval prompt engineering. Developed and optimized retrieval prompts, re-ranking mechanisms, and staggered summarization workflows to ensure precise and context-aware response generation- Prompt Engineering: Applied advanced prompt engineering principles to craft well-organized and laser-focused prompts, significantly improving the accuracy and relevance of information retrieval and response generation within RAG-based systems- Agentic Systems Development: Led the development of agentic systems utilizing the Autogen v0.4 framework, implementing agent-based architectures and integrating Agentic RAG concepts to enhance system autonomy and multi-agent collaboration- Development and Deployment: Developed, deployed, and maintained numerous stand-alone scripts, microservices, and business logic integration applications using Python 3, Flask, and related frameworks, focusing on ecosystem enhancement and solution delivery- Data Engineering: Engineered robust data pipelines for extraction, cleansing, and structuring from diverse sources, leveraging SQL Server, SSRS, Power BI, and Python libraries to deliver actionable business insights- Business Communication: Actively engaged with stakeholders to procure, standardize, and follow up on requirements, converting opportunities into focused, growth-oriented projects- Project Management: Directed development initiatives and team objectives using Microsoft TFS, efficiently translating business requirements into actionable development modules with strict adherence to deadlines.

Experience

1. Senior Software Developer

   Ericsson

   Nov 2022 — Present · Noida, IN

   Successfully managed multiple projects demanding advanced skills in data organization and engineering. Currently focused on developing architectures for MLOps and Retrieval-Augmented Generation (RAG) models using large language models (LLMs) to enhance the functionality and efficiency of smart agents.

Education

• Inderprastha Engineeering College

  Bachelor of Technology

  2014 — 2018

• St. Vivekanand School d block Anand Vihar New Delhi

  Intermediate

  2012 — 2014