Manasvi Manasvi
@manasvimanasvi
FinTech payments operations professional automating cross-border workflows with APIs and real-time liquidity orchestration.
What I'm looking for
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
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
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.
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
Availability
Location
Authorized to work in
Job categories
Skills
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