Amal Prasad

AI Researcher

Bengaluru, Karnataka, India4 yrs 4 mos experience

Key Highlights

Expert in Machine Learning and Quantitative Analysis.
Developed innovative trading strategies for financial markets.
Led successful projects in SaaS and Fintech industries.

Stackforce AI infers this person is a Machine Learning and Quantitative Analysis expert in the Fintech and SaaS sectors.

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Skills

Core Skills

Machine LearningConversational IntelligenceQuantitative Analysis

Other Skills

C++Computer NetworkingData DistributionDesignElasticsearchFinanceIoTJavaKotlinLarge Language ModelsMarket ResearchMicrosoft OfficeMongoOperating SystemsPython (Programming Language)

Experience

Bridgetown research

Machine Learning Engineer

Dec 2024 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Built analysis feature that generates KPC, NPS, asset overviews, etc instantly, eliminating manual work.
Fine-tune and deploy large language models to power automated expert interviews for consultants.

Machine LearningLarge Language Models

Apollo.io

2 roles

Senior Software Engineer (L5)

Promoted

Aug 2023 – Nov 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India

•Built a conversational intelligence platform which records all your sales calls and provides insights

Conversational IntelligenceSales Insights

Software Engineer II (L4)

Sep 2022 – Jul 2023 · 10 mos · Bengaluru, Karnataka, India

Building Conversational Intelligence Platform like Gong
Led a team for a company wide hackathon and was rewarded with 500$ among 17 other teams.

Conversational IntelligenceTeam Leadership

Nk securities research

Quantitative Developer

Jul 2021 – Jul 2022 · 1 yr · Gurugram, Haryana, India

Developing the strategy component of trading binaries in a low latency environment for NSE derivatives market
Deployed live trading code for Currency Derivatives Segment (CDS) on NSE improving on speed and pnl
Set up live backtest for NSE CDS to incorporate feedback for different hyperparameters in the strategy
Analyzing market micro-indicators to model short term price movements for placing mid frequency orders

Quantitative AnalysisTrading Strategies

Jpmorgan chase & co.

Quantitative Developer

May 2020 – Jul 2020 · 2 mos · Mumbai, Maharashtra, India

Built a dynamic distributed lag regression model with economy state to predict long-term hotel prices
Analysed a short term correction model to incorporate COVID-19 effects into US revpar prediction of 2020-21
Presented long/short term revpar model to trading team; pushed the model into production for JPM dashboard

Quantitative AnalysisRegression Modeling

Technische universität berlin

Research Intern

May 2019 – Jul 2019 · 2 mos · Berlin, Germany

Created geobroker, a data distribution service that adds geo-contexts to pub/sub client systems, useful in IoT
Implemented Kryo Serialisation, improving time complexity by 30%, sent messages as bytes against JSON objects
Custom-designed 3 test scenarios for DisGB, enabling support for multiple geobrokers for usage in larger areas

Data DistributionIoT