Lavesh Gupta

Software Engineer

Hyderabad, Telangana, India11 mos experience

Key Highlights

Strong foundation in software engineering and backend development.
Hands-on experience in machine learning and financial analysis.
Proven ability to develop optimized trading strategies.

Stackforce AI infers this person is a Fintech professional with expertise in machine learning and financial analysis.

Contact

Skills

Core Skills

Alpha GenerationFinancial AnalysisFinancial Market ResearchFutures TradingMachine LearningRegression ModelsNode.jsRest Apis

Other Skills

Long/Short EquityTechnical AnalysisFundamental AnalysisDatabasesPython (Programming Language)Gradient BoostingNI LabVIEWNI DAQDatabase Management System (DBMS)Software Development MethodologiesMathematical ModelingLiDARObject DetectionImage ProcessingTransfer Learning

About

Recent graduate from IIT Kanpur, with major in Electrical Engineering and a minor in CSE (Systems). I bring a strong foundation in software engineering, with hands-on experience in backend development, and machine learning.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Oracle

Application Developer

Jul 2025 – Present · 11 mos · Hyderabad, Telangana, India · On-site

Axxela

Trading Analyst Intern

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · On-site

𝗠𝗲𝗻𝘁𝗼𝗿: 𝗞𝘂𝗺𝗮𝗿 𝗦𝘄𝗮𝗽𝗻𝗶𝗹, 𝗩𝗣 𝗔𝘅𝘅𝗲𝗹𝗮 𝗚𝘂𝗿𝗴𝗮𝗼𝗻
▸Conducted comprehensive market analysis using fundamental and technical methodologies on European Fixed Income markets, leading to the identification and execution of strategic trades.
▸ Executed trading strategies for 3-month EURIBOR futures using Stellar Trading Systems simulation software, employing Bollinger bands, moving averages, price action, and volume strategies to optimize trade entry and exit points.

Financial Market ResearchTechnical AnalysisFundamental AnalysisFutures Trading

Hudson & thames quantitative research

Machine Learning Intern

May 2023 – Jul 2023 · 2 mos · London Area, United Kingdom · Remote

𝗠𝗲𝗻𝘁𝗼𝗿: 𝗠𝗶𝗰𝗵𝗮𝗲𝗹 𝗦𝘁𝗿𝘂𝘄𝗶𝗴, 𝗖𝗘𝗢, 𝗛𝘂𝗱𝘀𝗼𝗻 & 𝗧𝗵𝗮𝗺𝗲𝘀
▸ Developed an optimized portfolio allocation strategy by leveraging regression trees and market features, resulting in maximizing the N-month forward Sharpe ratio.
▸ Outperformed traditional methods like Markowitz and Equal Weights models by 14% (cumulative returns) in varying market scenarios

Machine LearningRegression ModelsDatabasesPython (Programming Language)Gradient Boosting

Indian institute of technology, kanpur

Student Research Associate - DORD, IIT Kanpur

May 2023 – Jul 2023 · 2 mos · Kanpur, Uttar Pradesh, India · On-site

𝗠𝗲𝗻𝘁𝗼𝗿: 𝗣𝗿𝗼𝗳. 𝗡𝗦 𝗩𝘆𝗮𝘀, 𝗗𝗲𝗽𝘁. 𝗼𝗳 𝗠𝗲𝗰𝗵𝗮𝗻𝗶𝗰𝗮𝗹 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴
▸ Enhanced an android app's REST API in Node.js for real-time tracking of employee data, location & work timings by admins.
▸ Implemented Real-Time Machine Monitoring by obtaining data through NI-OPC servers on LabView for 15+ machines.
▸ Identified 25+ information tags and their corresponding DB addresses from PLC ladder book for health monitoring and conditioning monitoring.

Node.jsNI LabVIEWNI DAQREST APIs

Finlatics

Business Analyst Experience Programme

May 2023 – Jun 2023 · 1 mo · Remote

Worldquant

Research Consultant - WorldQuant BRAIN

Feb 2023 – May 2025 · 2 yrs 3 mos · Mumbai, India · Remote

▸Identified and used 20+ strategies for making long-short market neutral alphas for the U.S. stock market.
▸Researched and optimized extensively to submit spectacular and super Alphas using diversified datasets.

Alpha GenerationLong/Short EquityFinancial Analysis