Abhay Sharma

About Abhay Sharma

I am a Software Engineer at BlackRock specializing in the intersection of Python backend engineering and Agentic AI. My focus is on architecting resilient, scalable infrastructure that enables data-driven decision-making for Risk & Quantitative Analysis (RQA).With deep expertise in the Python ecosystem, I design high-impact developer tools from modular SDKs that optimize integration effort to Agentic AI research applications that automate complex financial analysis. I am passionate about building secure, reliable tool-use ecosystems (MCP) and productionizing AI workflows that bridge the gap between raw financial data and actionable insights.Core Competencies:• AI Engineering: Agentic Workflows, LangGraph, LangChain, OpenAI API, Multi-tool Reasoning (MCP).• Backend Architecture: High-performance Python SDKs, API Gateways, Microservices, Parallel Processing, FastAPI.• Data & Cloud: Snowflake, Azure Blob Storage, GCP Data Pipelines, Kubernetes (Knative), Docker.• DevOps/Platform: CI/CD Automation, Azure DevOps, SonarQube, Large-scale User Migrations.I thrive on solving complex architectural bottlenecks and building the foundational platforms that empower modern engineering teams.

Experience

1. Software Engineer - Core Risk Engineering

   BlackRock

   Jul 2023 — Present · Gurugram, IN

   Productized an Agentic AI Research application with transparent multi-tool reasoning, visualization generation, and large-dataset handling enabling faster self-serve analysis and reducing manual research cycles.• Built a modular MCP-based client-server tool ecosystem integrating databases and domain services, deployed on Kubernetes (Knative), enabling secure, reliable, and resilient data access for AI workflows and consumers.• Architected a modular, microservices-based Python SDK with reusable interfaces, loaders, and custom Python-based API gateway accelerating downstream development and reducing integration effort and runtime inefficiencies by ~40%.• Optimized high-volume data pipelines using batching, pagination, multithreading, and parallel processing techniques, improving system responsiveness and reliability at scale.• Automated Azure DevOps CI/CD pipelines with build, unit testing, SonarQube quality gates, and AI-assisted PR automation, ensuring high availability and safe deployments across production environment.• Designed and delivered Azure Blob Storage and Snowflake prototypes enabling scalable data exchange and analytics-ready datasets with reduced manual handling.• Automated large-scale user migration by building Azure DevOps API driven workflows to refactor legacy code, apply new SDK mappings, and auto-generate pull requests, enabling seamless adoption.• Maintained and enhanced RQA Docker Images for Jupyter and VSCode (400+ users) and led a Python 3.7 → 3.9 migration for 648 jobs ensuring compatibility and performance optimization.• Performed continuous refactoring and platform improvements, proactively identifying performance bottlenecks and reliability risks across production services.

Education

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Computer Science

  2019 — 2023

• Central Academy Schools

  II - X

• Resonance Eduventures Limited

  XI - XII