Chinmay S.

Product Manager

Pune, Maharashtra, India3 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in bridging business goals with execution.
Led agile delivery across global, cross-functional teams.
Fast-tracked to Senior Engineer for exceptional performance.

Stackforce AI infers this person is a Fintech and AI specialist with strong product management and agile delivery expertise.

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Skills

Core Skills

Product ManagementAgile DeliveryData AnalysisBusiness IntelligenceEquity ResearchMachine Learning

Other Skills

SWIFT PaymentsPayment SystemsPower BISalesforce CRMACH PaymentsData ScienceEquity Research AnalysisArtificial Intelligence (AI)Data StructuresMathematicsC++Python (Programming Language)SQL

About

I’m Chinmay Sarnaik, Consultant with 3 years of experience at FIS Global, where I partnered with global banks to deliver agile solutions and drive measurable business impact. I specialize in bridging business goals with execution by identifying what clients truly need, defining scalable strategies, and leading agile delivery across global, cross-functional teams. I know how to build the right solution, and more importantly, how to get it built efficiently and impactfully. Working with international teams taught me that building great products is as much about clarity and collaboration as it is about innovation. As technology evolves, I believe AI will become the unseen engine behind every product, quietly shaping decisions, personalizing experiences, and accelerating how value is created.

Experience

3 yrs 3 mos

Total Experience

1 yr 8 mos

Average Tenure

Current Experience

Fis

Senior Engineer

Jun 2022 – May 2025 · 2 yrs 11 mos · India

Partnered with global banking clients to define and prioritize product requirements for payment processing and clearing modules under the Open Payment Framework (OPF).
Designed and optimized payment message flows (ISO 20022 – PAIN, PACS, CAMT; SWIFT MT) to support SEPA Credit Transfer Instant (SCT Inst) and UKFPS clearing, improving transaction speed and compliance.
Collaborated with cross-functional teams across engineering, testing, and compliance to translate business needs into scalable product features for EMEA payment markets.
Drove release readiness and sprint planning by aligning stakeholders on product goals, minimizing rework, and improving delivery predictability across agile cycles.
Led client engagement for payment enhancement initiatives, analyzing user pain points, proposing roadmap improvements, and ensuring adoption of new features post-deployment.
Fast-tracked to Senior Engineer within 2 years for exceptional performance, ownership in product delivery, and consistent client satisfaction.

SWIFT PaymentsPayment SystemsProduct ManagementAgile Delivery

Persistent systems

Software Engineer

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India

Designed and deployed business intelligence solutions leveraging Power BI and Salesforce CRM data to analyze loan performance, transaction behavior, and customer profitability, driving actionable insights for product and sales teams.
Collaborated with cross-functional stakeholders to automate reporting pipelines and build Salesforce-integrated dashboards, improving decision turnaround time by 30% and enabling better visibility into customer lifecycle and lead conversion metrics

3c capitals

Analyst

Apr 2021 – Jul 2021 · 3 mos · Kochi, Kerala, India

Conducted sectoral and company-level analysis using financial statements, ratios, and valuation models to assess performance and investment potential.
Prepared equity research reports on listed firms, evaluating key metrics such as revenue growth, P/E ratio, and market positioning to support data-driven investment decisions.
Assisted senior analysts in tracking market movements and portfolio performance, providing actionable insights for client advisory and trading strategies.

Insane ai

Data Science Intern

Jul 2020 – Sep 2020 · 2 mos · Bengaluru, Karnataka, India

Supported machine learning model development through data collection, cleansing, and annotation to improve training dataset quality and model accuracy.
Assisted the data science team in feature engineering and exploratory data analysis, contributing to the refinement of predictive model performance.