Arin Zingade

Data Engineer

Indore, Madhya Pradesh, India3 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable machine learning solutions.
Proven track record in quantitative trading and asset management.
Strong background in AI research and data-driven insights.

Stackforce AI infers this person is a Fintech professional with expertise in AI-driven quantitative solutions.

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Skills

Core Skills

Data EngineeringMachine LearningAi ResearchQuantitative TradingFinancial TechnologyAlgorithmic TradingMarket MakingCoordinationCommunity BuildingAi IntegrationFinancial ManagementSponsorship AcquisitionLeadershipCommunity Engagement

Other Skills

AI SolutionsAWSAmazon Web Services (AWS)Artificial Intelligence (AI)Asset ManagementAzureBERT (Language Model)ClickHouseCommunicationComputer ScienceComputer VisionCorporate FinanceData AnalysisData ScienceData Structures

About

I contribute to cutting-edge research in artificial intelligence with a focus on model optimization, data-driven insights, and scalable machine learning solutions. My expertise lies in bridging the gap between raw data and actionable intelligence through the design of robust data pipelines, deployment of predictive models, and interpretation of complex datasets. My core strengths include: 1. Building end-to-end data and ML solutions using Python, SQL, and cloud platforms (AWS/GCP) 2. Applying statistical modeling, regression analysis, deep learning, and quantitative methods. 3. Automating data workflows and delivering high-impact business intelligence 4. Solving real-world problems across finance and technology domains In financial markets, I have: 1. Managed portfolio and delivered consistent alpha over 2 years for over 15 clients. 2. Developed profitable low-latency market-making strategies in C++, with Python-based backtesting to optimize execution speed and efficiency across exchanges. 3. Engineered scalable and resilient infrastructure on AWS to support cross-market trading strategies. 4. Collaborated directly with founders and major Indian crypto exchanges/brokers to drive execution and innovation. More about me: https://linktr.ee/arinzingade

Experience

Zebu

Quantitative Trader

Mar 2025 – May 2025 · 2 mos · Mumbai, Maharashtra, India · Hybrid

Designed and developed a low-latency synchronised trade execution platform managing thousands of accounts, supporting over 100 PMS fund managers across India.
Built a secure, multi-tenant infrastructure with RBAC and detailed audit logging with cloud-native architecture.

Low LatencyComputer ScienceDeal ClosureAsset ManagementQuantitative TradingFinancial Technology

Blueberrycapital

Quantitatve Researcher

Jan 2025 – Apr 2025 · 3 mos · Remote

Conducted in-depth research and implementation of GARCH and Hidden Markov Models (HMM) to develop profitable, data-driven algorithmic trading strategies in financial markets. Focused on volatility modeling, regime detection, and predictive analytics to enhance trade execution and risk management.
Built a comprehensive backtesting framework in Python, enabling rigorous performance evaluation across multiple market conditions. Optimized strategy parameters to improve statistical robustness, drawdown control, and alpha generation.

Quantitative ResearchAlgorithmic Trading

Growth traders

Quantitave Developer

Dec 2024 – Apr 2025 · 4 mos · Delhi, India · Hybrid

Developed profitable low-latency market-making strategies in C++ with Python-based backtesting, optimizing execution speed and efficiency across markets. Built scalable, resilient infrastructure on AWS to support cross-market strategies.
Collaborated directly with founders and major crypto exchanges/brokers in India to drive execution and innovation.

Quantitative FinanceAsset ManagementMarket MakingFinancial Technology

Cloudraft

2 roles

Data Engineer

Nov 2024 – Present · 1 yr 4 mos

Engineered data platforms from scratch, streamlining clients’ business processes and delivering actionable insights by architecting an AI layer over the data layer for enhanced intelligence and decision-making.
Designed and deployed microservices architectures on AWS & Azure for scalable and efficient application performance.

PythonSQLAWSAzureData EngineeringMachine Learning

AI Research Intern

Jul 2024 – Nov 2024 · 4 mos

Developed solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI to solve complex problems.
Worked extensively with Selenium for automating workflows increasing organisational efficiency.

TensorFlowScikit-LearnArtificial Intelligence (AI)Computer VisionPyTorchBERT (Language Model)+9

#include sgsits

Coordinator

Oct 2023 – Feb 2025 · 1 yr 4 mos · On-site

The Official techno-learning club of SGSITS. Collaborating with like minded individuals to create a thriving technical community.

Microsoft ExcelData StructuresData AnalysisCoordinationCommunity Building

Shri g s institute of technology & science

Machine Learning Intern

Oct 2023 – Jul 2024 · 9 mos · On-site

Utilizing Artificial Intelligence and Machine Learning principles, integrated Image Processing techniques to modernize conventional practices in chemistry laboratories at a startup affiliated with CIDI SGSITS.

Product DevelopmentArtificial Intelligence (AI)Machine LearningTeam BuildingImage ProcessingData Science+1