Bhupesh .

Software Engineer

Gurugram, Haryana, India1 yr 7 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Developed predictive models for financial instruments.
  • Created a scalable web scraping tool enhancing data efficiency.
  • Experience in low latency trading platforms.
Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in low latency systems and quantitative finance.

Contact

Skills

Other Skills

AlgorithmsAlpha GenerationAnalytical ReasoningAnalytical SkillsArtificial Intelligence (AI)C++CommunicationComputer NetworkingComputer SimulationsData ScienceData StructuresFinancial DataGitInformation RetrievalInterpersonal Communication

About

I am a senior undergraduate at IIT Delhi, currently pursuing B.Tech in Computer Science. My interests include developing software and programming competitively.

Experience

Tower research capital

2 roles

Software Engineer 1

Jul 2025Present · 8 mos · Gurugram, Haryana, India · On-site

  • Low Latency Trading Platform

Software Engineer

Jan 2025Jul 2025 · 6 mos · Gurugram, Haryana, India · On-site

  • Low Latency Research and Trading Platform.

Indian institute of technology, delhi

Teaching Assistant

Jan 2025Apr 2025 · 3 mos · Delhi, India · On-site

  • Teaching Assistant for the course Operating Systems (OS)(COL331/633).

Worldquant

Research Consultant

Jul 2024Dec 2024 · 5 mos · India

  • Developed predictive mathematical models (alphas) for financial instruments. Conducted simulations to refine models for optimal and sustainable performance. Utilized advanced quantitative financial models and analytical tools to create effective investment strategies.
  • Translating ideas into mathematical models focused on systematic equity and statistical arbitrage.
  • Developed 300+ value-adding long-short neutral alphas across regions including the US, China, Korea, Japan, Asia, and Global.
  • Created uncorrelated, value-adding signals that enhance the existing alpha pool, achieving high merged Sharpe ratios, strong returns, and low drawdown, while maintaining optimal turnover and margin.
  • Diversified the alpha pool with high-quality signals to ensure strong out-of-sample (OS) and in-sample (IS) performance.

Kie square analytics

Software Engineer Intern

May 2024Jul 2024 · 2 mos · Noida, Uttar Pradesh, India · Remote

  • Created a scalable web scraping tool to collect data from various online sources. Utilized data compression techniques and search technologies to optimize information retrieval and system performance.
  • Collaborated with other teams to parallelize data collection tasks, leading to a 400% increase in processing speed. This enhancement improved large-scale data efficiency to build better customer experiences for the brand product.
  • Conducted detailed product analysis on metrics for more than 150 brands. The insights generated helped refine creative decisions for customer use cases of the products.

Education

Indian Institute of Technology, Delhi

Bachelors of Technology — Computer Science

Oct 2021Jun 2025

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