Sankarshan Kulkarni

Product Manager

Pune, Maharashtra, India1 yr 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Winner of Algorithmic Trading Hackathon at IIT Gandhinagar.
Top 87 out of 35,000+ in ET Campus Star Award.
Global Rank 87/4000+ in NK Securities Hackathon.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative finance and AI-driven solutions.

Contact

Skills

Core Skills

Data ManagementQuantitative FinanceFront-end DevelopmentCognitive Tools DevelopmentAi/ml EngineeringDatabase Management

Other Skills

API DevelopmentAnalytical SkillsAngularJSArtificial Neural NetworksAutodesk InventorAutomationBloggingCascading Style Sheets (CSS)Cash ManagementCommunicationCritical ThinkingData AnalysisData ScrapingData VisualizationDatabase Optimization

About

I am an IIT Gandhinagar graduate and currently a Technology Analyst at Citi, specializing in quantitative finance, machine learning, and large-scale data systems. My work focuses on developing scalable automation pipelines, optimizing financial data workflows, and building AI-driven platforms to enhance decision-making and efficiency. Key achievements include: -Winner – Algorithmic Trading Hackathon at IIT Gandhinagar (200+ submissions) -Top 87 out of 35,000+ – ET Campus Star Award -Global Rank 87/4000+ – NK Securities Hackathon (implied volatility surface reconstruction) Professional and academic projects have focused on: -Options pricing models including jump-diffusion and numerical PDE approaches -Volatility surface reconstruction and prediction with high accuracy -Backtesting and migrating quantitative trading strategies from Python to C++ for low-latency execution -AI and GenAI applications in audit, reporting, and sentiment analysis I am particularly interested in roles at the intersection of quantitative research, trading strategies, and AI-driven finance.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Citi

2 roles

Technology Analyst - C10

Aug 2025 – Present · 10 mos · Pune, Maharashtra, India · On-site

Designing and managing data pipelines using RAG, LLMs, SLMs, Adaptive RAG, for Global Liquid Management System that handles data from multiple financial instruments like Derivatives, swaps, index, equities, bonds, etc.

RAGLLMsSLMsData ManagementQuantitative Finance

Technology Analyst - C09

Jul 2024 – Jul 2025 · 1 yr · Pune, Maharashtra, India · On-site

1) Front-End Developer for Cognitive Audit Solutions
Worked as a front-end developer in the Internal Audit team, building cognitive tools to support behavioral analysis and risk assessments using AngularJS and visualization libraries.
2) Delivered Three Production-Ready Platforms
Led the end-to-end UI development for three internal audit solutions, from wireframing to final deployment, ensuring scalable, responsive, and intuitive interfaces.
3) LLM-Powered Code Risk Analyzer for Non-Tech Auditors
Spearheaded the UI integration of a GenAI-based tool (Citi Stylus API) that identifies code vulnerabilities and summarizes risks for non-technical auditors using LLMs.
4) Maintained Code Integrity and Performance Standards
Achieved 90%+ code coverage using Karma test cases, implemented CVM fixes, and managed server capacity to ensure data integrity and platform reliability.
5) Saved $120K via Culture & Behavior Audit Automation
Developed a Culture and Behavior audit solution using LLMs, automating manual processes and delivering insights that led to an estimated $120,000 in cost savings for the audit function.

AngularJSVisualization LibrariesLLMsKarmaAPI DevelopmentFront-End Development+1

Sarvm.ai

AI/ML Engineer

Dec 2023 – May 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

1) Majorly worked on building ASR models using Transformers for audio generation and translating into desired language.
2) Enhanced inference time of speech recognition system by 15% using concept of syllable count.
3) Utilized data scraping for fetching dynamic and static data from BigBasket, Zepto, Blinkit and Swiggy to prepare a compare and buy dataset for dynamic locations updated on s3 of sarvM system.
4) Worked on POC of building recommendation system based out of pricing trends of each item stored in s3 in different location.

TransformersData ScrapingRecommendation SystemsAI/ML Engineering

Citi

Technology Analyst

May 2023 – Jul 2023 · 2 mos · Pune, Maharashtra, India · On-site

1) Created a complete End User Computing product for the Citi KYC products to ease the bulk insertion of records.
2) Optimized database queries for Citi KYC, which led to reductions in data insertion time by 20%.
3) Developed API endpoints for bulk record management (insertion, retrieval, modification).
4) Implemented a robust shell script led to secure transport of executable files in a remote environment.

API DevelopmentShell ScriptingDatabase OptimizationDatabase Management