Hello, I'm

Shoaib Alam

AI Engineer@JPMC

NLP Researcher from IIT Gandhinagar. Pioneer of Fiduciary-Grade Hybrid RAG for Institutional Finance at JPMC.

Bangalore, India

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About Me

I'm an AI Engineer at JPMC and NLP Researcher from IIT Gandhinagar. I specialize in building fiduciary-grade hybrid RAG solutions and scalable AI systems for institutional finance.

AI & NLP Engineering

Developing fiduciary-grade hybrid RAG architectures, prompt engineering, and fine-tuning LLMs.

PyTorchHuggingFaceLangChainLlamaIndex

Data & ML Pipelines

Building robust data pipelines, ETL infrastructure, and feature stores for large-scale institutional systems.

PythonSQLSparkAirflow

Full-Stack AI Apps

Creating full-stack applications with modern frameworks to serve intelligent AI models.

TypeScriptReactNext.jsFastAPI

Automation & Integration

Developing automated testing, crawlers, and integrating APIs for financial workflows.

SeleniumChrome ExtensionsAPIs

Technologies I Work With

🐍Python
🗃️SQL
Spark
📘TypeScript
🔷Go
⚛️React
🌀Airflow

Work Experience

Professional experience in building fiduciary-grade AI solutions and scalable data infrastructure.

AI Engineer

JPMC

Fiduciary-Grade AI & Institutional Finance

Apr 2026 - Present · 4 mosBengaluru, Karnataka, India

Pioneering fiduciary-grade hybrid Retrieval-Augmented Generation (RAG) systems for institutional finance and large-scale AI applications.

  • Designing robust, high-precision hybrid RAG frameworks for financial analysts
  • Deploying secure, high-throughput LLM pipelines with strict fiduciary compliance
  • Optimizing hybrid retrieval mechanisms combining dense semantic search and sparse keyword search
  • Collaborating with finance teams to deploy state-of-the-art NLP models into production

Data Engineer II

Nike

Data and Artificial Intelligence

Oct 2024 - Apr 2026 · 1 yr 7 mosBengaluru, Karnataka, India

Led data engineering initiatives for Nike's AI and analytics platforms. Built scalable data pipelines and ML infrastructure to power data-driven decisions.

  • Architected ETL pipelines for large-scale data processing
  • Built AI/ML data infrastructure and feature stores
  • Developed automation tools for data quality and monitoring
  • Collaborated with data scientists on ML model deployment

Data Engineer I

Nike

Data and Artificial Intelligence

Jun 2023 - Oct 2024 · 1 yr 5 mosBengaluru, Karnataka, India

Built and maintained data pipelines supporting Nike's global e-commerce and analytics initiatives.

  • Developed ETL workflows using modern data stack tools
  • Created data processing solutions for business intelligence
  • Implemented data validation and quality frameworks
  • Contributed to AI-powered search and recommendation systems

Education

Master of Technology (MTech)

Computer Science

Indian Institute of Technology Gandhinagar

Jul 2021 - Jul 20239.67 CGPA
  • Focus on Machine Learning and NLP (Natural Language Processing) research
  • Research in NLP and Computer Vision

Bachelor of Technology (BTech)

Computer Science and Engineering

Bhilai Institute of Technology (BIT), Durg

2017 - 20219.5 CGPA
  • Strong foundation in algorithms and data structures
  • Projects in web development and automation
Publications

Academic Research

Peer-reviewed scientific contributions in Natural Language Processing, information extraction, and Large Language Model (LLM) benchmarks.

EMNLP 2024
Findings of EMNLP 2024

LEGOBench: Scientific Leaderboard Generation Benchmark

Authors:Shoaib AlamShruti SinghHusain MalwatMayank Singh

Abstract

LEGOBench is a benchmark framework designed to evaluate systems that automatically generate scientific leaderboards. The research evaluates popular encoder-only scientific language models and decoder-only Large Language Models (LLMs) across multiple graph-based and language model-based configurations, revealing significant performance gaps in state-of-the-art systems.

Dataset Scale

Curated using 22 years of preprint submission data from arXiv combined with over 11,000 machine learning leaderboards from the PapersWithCode portal.

Core Task Configurations

  • Ranking Papers based on Content and Graph (RPG)
  • Ranking Papers by Prompting Language Models (RPLM)
  • Leaderboard Entries Generation by Prompting Language Models (LGPLM)

Featured Projects

A collection of projects I've built, ranging from AI/ML applications to developer tools and automation systems.

git-secret-scanner

A powerful security scanning tool that detects and prevents secret leaks in Git repositories. Helps maintain code security by identifying exposed credentials and sensitive data.

TypeScriptNode.jsSecurity

AI-Image-Search

AI-powered image search application leveraging machine learning to find and retrieve images based on semantic understanding and visual similarity.

PythonAI/MLComputer Vision

Table-Mapper-AI

Intelligent table mapping tool that uses AI to automatically detect, extract, and transform tabular data from various document formats.

PythonAI/MLData Processing

HealthTracker

A comprehensive health monitoring application that helps users track fitness metrics, nutrition, and wellness goals with intuitive visualizations.

JavaScriptHealth TechWeb App

Al-Quran

A comprehensive tool for Quranic analysis and verse search featuring an intuitive web interface for searching verses and statistical analysis visualization.

PythonNLPData Visualization

face-recognition

Machine learning-based face recognition system capable of detecting and recognizing faces in images and videos with high accuracy.

PythonMLOpenCV

chrome-extension

Collection of Chrome extensions enhancing browsing experience with features including downloaders, glossary tools, and LLM integrations.

JavaScriptChrome APIBrowser Extension

Telegram-bot

Automated Telegram bot providing various utility functions and integrations for enhanced messaging and task automation.

PythonTelegram APIAutomation

Let's Connect

I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology.

Based inBangalore, India