Muzaffar Ali

Software Engineer

Indore, Madhya Pradesh, India1 yr 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in backtesting and quantitative research.
Developed AI-driven trading strategies.
Designed advanced NLP systems for real-time applications.

Stackforce AI infers this person is a Fintech and SaaS expert with strong quantitative and analytical skills.

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Skills

Core Skills

BacktestingQuantitative ResearchMarket MicrostructuresNlpAudio Transcription

Other Skills

AI-powered analyticsASR modelsAdobe IllustratorAnalytical SkillsAnalyticsApplication Portfolio ManagementAutomated Machine Learning (AutoML)BondsC++Cash Flow ForecastingConvolutional Neural Networks (CNN)Core Banking ImplementationCorrelation TradingData AnnotationData Preparation

About

As I complete my dual degree in Electrical Engineering at the Indian Institute of Technology, Bombay, my role at Blockhouse as a Quantitative Researcher has been pivotal. I've honed my competencies in developing backtesting infrastructures and leveraging AI-powered analytics to boost trade execution strategies. My academic tenure has seamlessly transitioned into professional expertise, particularly in backtesting, market microstructures, and predictive analytics. At Blockhouse, our team has enhanced trading outcomes by creating realistic market simulators and implementing cutting-edge AI analytics. My work experience, including a data analyst internship at a Stealth AI Startup, has equipped me with skills in handling large data sets with PySpark and generating insights through Tableau. These experiences underscore my commitment to innovation and my ability to bring a data-driven and analytical perspective to our team's endeavors.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

1 yr 3 mos

Current Experience

Delta exchange

Software Engineer

Mar 2025 – Present · 1 yr 3 mos · India · Remote

Blockhouse

Quantitative Researcher

Oct 2024 – Mar 2025 · 5 mos · New York, United States · Remote

Developed and optimized backtesting infrastructures at Blockhouse to enhance trade execution strategies.
Created realistic market simulators and implemented AI-powered analytics to predict and improve trading outcomes.
Comprehensive understanding of market microstructures and the critical importance of robust backtesting in strategy development.

BacktestingAI-powered analyticsMarket microstructuresQuantitative Research

Stealth ai startup

NLP Researcher

May 2023 – Jul 2023 · 2 mos · Toronto, Ontario, Canada · Remote

Designed a real-time audio transcription system using state-of-the-art ASR models from Hugging Face pipelines
Used Wav2Vec 2.0, Whisper models for ASR tasks, integrated it with appropriate tokenizers for optimal performance
Utilized Torchaudio and librosa for preprocessing, and optimized parameters to reduce latency and improve accuracy
Extensively tested locally with diverse audio samples and deployed the transcription pipeline as a scalable web service

NLPAudio transcriptionASR modelsHugging FaceWav2Vec 2.0Whisper models