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Manasvi Manasvi

@manasvimanasvi

FinTech payments operations professional automating cross-border workflows with APIs and real-time liquidity orchestration.

India
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What I'm looking for

I’m looking for a FinTech role where I can own payment automation and treasury operations—building API-driven workflows, real-time liquidity monitoring, and failover-ready reconciliation—so cross-border settlement stays reliable, efficient, and data-optimized.

I’m an Automation and Payments Operations professional focused on building reliable, scalable payment workflows for global capital movement. Currently, I automate cross-border payment lifecycles by integrating multiple PSP rails via RESTful APIs.

I develop a real-time liquidity orchestration framework that monitors intraday balances across diverse corridors to ensure constant payment availability and settlement reliability. I also build automated logic to allocate transaction volumes based on real-time cost analysis and success rate telemetry from individual providers.

To optimize efficiency, I designed trigger-based workflows for multi-currency rebalancing—consolidating fragmented liquidity to minimize idle balances and reduce FX risk. My systems include integrated failover mechanisms and automated reconciliation to handle API latency and transaction exceptions without manual intervention.

In parallel, I strengthen my data-driven approach through machine learning and analytics. I built end-to-end ML pipelines for early diagnosis support (including preprocessing, outlier detection, and hyperparameter tuning) and support reporting workflows using tools like PowerBI and Tableau.

Experience

Work history, roles, and key accomplishments

TA
Current

Treasury & Payments Automation

TazaPay

Jan 2026 - Present (5 months)

Automates cross-border payment lifecycles by integrating multiple PSP rails via RESTful APIs to support global capital movement. Develops liquidity orchestration to monitor intraday balances, automate multi-currency rebalancing, and perform failover with automated reconciliation to handle API latency and exceptions.

Education

Degrees, certifications, and relevant coursework

Chandigarh University logoCU

Chandigarh University

Master of Computer Applications, Computer Applications

2024 - 2026

Activities and societies: Heart disease prediction using Python, Pandas, NumPy, scikit-learn; feature engineering, outlier detection, hyperparameter tuning; logistic regression + decision trees.

Pursuing a Master of Computer Applications at Chandigarh University (2024–2026). Completed a heart disease prediction project using supervised machine learning models such as logistic regression and decision trees with scikit-learn.

MC

Multani Mal Modi College

2017 - 2021

Activities and societies: Machine learning pipeline for cardiovascular risk/heart disease prediction; supervised learning with model training and evaluation.

Completed graduation at Multani Mal Modi College (2017–2021) with a focus on heart disease prediction using machine learning. Built an end-to-end pipeline for preprocessing, model training, and evaluation.

Tech stack

Software and tools used professionally

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