Shahil Gupta

Associate Consultant

Kharagpur, West Bengal, India4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building AI-driven tools with LLMs.
Proficient in developing scalable backend systems.
Experienced in quantitative finance and trading strategies.

Stackforce AI infers this person is a skilled developer in Fintech and Healthcare sectors with a strong focus on AI and data analytics.

Contact

shahilgupta2580@gmail.com LinkedIn

Skills

Core Skills

LangchainReactQuantitative FinancePythonMachine LearningNode.jsTypescript

Other Skills

Redux.jsLangGraphRetrieval-Augmented Generation (RAG)RTK QueryPython (Programming Language)Generative AIRabbitMQDjangoPostgreSQLFastifyDecentralized Applications (DApps)BlockchainHTML5Responsive Web DesignGit

About

Building things that bridge data, technology, and user experience —whether it’s designing scalable backend systems, crafting interactive frontends, or creating AI-driven tools with Large Language Models (LLMs). At Humbi Analytics, I’m currently developing an Agentic RAG system that surfaces insights from large datasets (think 10,000+ lines of unstructured data). This follows my earlier role there as a Data Analyst Intern, where I worked deep in the trenches with SQL, Python, and machine learning for business analytics. At The D. E. Shaw Group, I built a multi-agent LLM system that lets users query large datasets in plain English and receive context-aware, retrieval-augmented answers. My work spanned LLM orchestration, RAG pipelines, agent tool design, and frontend development using React, LangChain, LangGraph, and RTK Query. Earlier, at WorldQuant, I focused on quantitative research, designing and backtesting alphas on US and China equity data—working towards better Sharpe ratios and lower turnover. Beyond my academic pursuits, I serve as a mentor at AlgoZenith, guiding students in Data Structures and Algorithms to prime them for tech interviews. As VP of the KGP Poshan Chapter, my commitment extends to social impact, demonstrating a balance between professional growth and community contribution.

Experience

4 mos

Total Experience

4 mos

Average Tenure

Current Experience

The d. e. shaw group

Technology Development Intern

May 2025 – Jun 2025 · 1 mo · Gurugram, Haryana, India · On-site

Designed and developed a multi-agent system leveraging LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) to enable users to query large datasets in plain English and receive contextually relevant answers. Built a responsive frontend for the agent using React and implemented efficient RTK Query endpoints to handle agent workflows. Additionally, developed summarization tools for large text documents, allowing users to quickly extract key insights. These tools were also integrated into the frontend with dedicated RTK Query endpoints to ensure seamless user experience and scalable API interaction.

Redux.jsLangChainLangGraphRetrieval-Augmented Generation (RAG)ReactRTK Query

Humbi analytics llc

Data Analyst

Nov 2024 – Mar 2025 · 4 mos · Chicago, Illinois, United States · Remote

Designed and executed the end-to-end automated generation of benchmark reports for 10+ Accountable Care Organizations (ACOs) by processing large-scale clinical and financial data for 100,000+ patients. Built a robust ETL pipeline in Python to process 10M+ healthcare records per month, automating monthly ACO expenditure and benchmark reporting. Developed scalable workflows to calculate patient-level risk scores across datasets exceeding 1 million records with 50+ features. Conducted in-depth analysis of metastatic breast cancer (MBC) patient data to identify treatment disparities across socioeconomic groups, producing actionable insights to support improved care outcomes for ACOs.

Python (Programming Language)Machine LearningPython

Amazon

Apprentice - Amazon ML Summer School '24

Jun 2024 – Jul 2024 · 1 mo · Remote

As a trainee at Amazon Summer ML School 2024, engaged in comprehensive modules covering various aspects of machine learning. Gained proficiency in supervised learning, deep neural networks, and dimensionality reduction. Explored unsupervised learning, sequential learning, and reinforcement learning. Delved into advanced topics such as generative AI, large language models, and causal inference.

Machine LearningGenerative AI

Worldquant

Quantitative Research Consultant

Mar 2024 – May 2025 · 1 yr 2 mos · Remote

Constructed, backtested, and optimized numerous quantitative trading alpha expressions using historical stock market data. By engineering trading criteria for the most liquid equities in the US and China markets, leveraged price action and fundamental datasets to create statistically robust alphas. Each alpha was optimized to achieve a high Sharpe ratio, fitness score, and low turnover over an extensive in-sample backtest period.

Quantitative Finance

Algozenith

Web Developer

Jan 2023 – Jun 2023 · 5 mos · India · Remote

Developed a Slack bot using Node.js and TypeScript for asynchronous message processing and real-time communication. Engineered for scalability, it seamlessly integrates with Slack, delivering timestamped alerts at a rate exceeding 1000 per second. Integrated RabbitMQ for reliable message handling with minimal drop rates and employed PostgreSQL for transaction logging.

RabbitMQDjangoNode.jsTypeScript