Sachin Kulkarni
Senior Solutions Architect at Amazon Web Services (AWS)
Amstelveen, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolSachin Kulkarni is a Senior Solutions Architect based in Amstelveen with 20+ years of engineering and technology leadership and a decade of concentrated experience in financial services and cloud transformation. At AWS he partners with BeNeLux enterprise banks to modernize mission-critical payments and treasury platforms, driving architecture decisions on deals worth up to EUR 100M and delivering a payments modernization that cut processing time by 90%. His background as a product owner and solutions architect at ING and RBS combines hands-on SAP and cash-management product delivery with large-scale program execution across 38-country exits and datacentre migrations. Trained in finance, risk management and machine learning (IIM Calcutta, FRM, Udacity), he blends domain fluency with cloud-native and generative AI experimentation to build pragmatic business solutions. Colleagues describe him as a techno-functional connector who turns complex banking requirements into deployable, measurable outcomes.
10 years of coding experience
16 years of employment as a software developer
Machine Learning Engineer Nanodegree, Machine Learning, Machine Learning Engineer Nanodegree, Machine Learning at UdacityB.Chem.Engg., Chemical Engineering, B.Chem.Engg., Chemical Engineering at University of MumbaiPune BoardPGDM, MBA, Finance, IT, PGDM, MBA, Finance, IT at Indian Institute of Management, CalcuttaFinancial Risk Manager, Financial Risk Management (FRM), Risk Management, Financial Risk Manager, Financial Risk Management (FRM), Risk Management at Global Association of Risk Professionals (GARP)
Dutch, English, Hindi
Github Skills (11)
deep-q-learning10
to-do9
stock9
q-learning9
automated-trading9
stock-trading9
stable-baselines8
trading8
reinforcement-learning7
algorithmic-trading7
agent7
Programming languages (2)
Github contributions (5)
sachink2010/AutomatedStockTrading-DeepQ-Learning
Feb 2019 - Aug 2021
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Contributions:16 commits, 2 PRs, 15 pushes in 2 years 6 months
stable-baselinesdaystockdeep-q-learningmoney
sachink2010/EnterpriseData-with-LLM
Jul 2023 - Oct 2023
This repository allows you to quickly integrate Large Language Models (LLMs) with your Enterprise Data using Amazon Kendra and Amazon Bedrock/Sagemaker Jumpstart
Contributions:3 PRs, 31 pushes, 1 branch in 2 months
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