Pranay Kothari — Software Engineer

I’m Pranay Kothari, a software engineer at JPMorgan London, passionate about building scalable, data-driven solutions at the intersection of finance and technology. With a bachelor's degree in Computer Science & AI and currently pursuing a MSc in Software Engineering at the University of Oxford, I thrive in environments where innovation meets impact. What I Do Best: - Full-Stack Engineering: Delivering robust applications using Java, Python, C++, Scala, and JavaScript across cloud-native and on-prem environments. - Machine Learning & Data Engineering: Designing intelligent systems and pipelines that power financial analytics, risk management, and regulatory processes. Track Record: - JPMorgan: Developed platforms supporting EOD risk, PnL, and stress testing for market risk and finance divisions. - ETHIndia 3.0 Fellow: Built KratoSwap, a decentralised NFT platform on Polygon, selected from 10,000+ global applicants. - FilterPixel: Engineered and optimised AI-driven photo curation tools, enhancing user workflow efficiency and contributing to product scalability in a fast-paced startup environment. - Complex Systems Lab (IIITD): Created Ayurveda Informatics, the world’s first Ayurveda pharmacopoeia search engine, blending data science with computational gastronomy. Recognitions: - ETHIndia Fellow (Top 0.1% of applicants) - Multiple hackathon awards (Soft CodeHacks, HackNITP, MLH HackVerse) Technical Toolbox: Python | Java | C++ | Scala | JavaScript | TypeScript | React | AWS | GCP | SQL | Machine Learning | Data Engineering | Site Reliability Why Connect? I’m driven by curiosity, collaboration, and the pursuit of elegant solutions to complex problems, whether in fintech, big tech, or emerging AI domains. If you’re building the future of finance or technology, let’s connect and explore how we can drive innovation together. If you want to know more about me, send me a message or reach out to me at pranay.kothari.official@gmail.com

Stackforce AI infers this person is a Fintech and Blockchain-focused Full-Stack Engineer with strong data science capabilities.

Location: London, England, United Kingdom

Experience: 2 yrs 9 mos

Skills

Amazon Web Services (aws)
Machine Learning
Blockchain
Data Analysis
Full-stack Engineering
Data Science

Career Highlights

Developed a decentralized NFT marketplace selected from 10,000+ applicants.
Built the world's first Ayurveda pharmacopoeia search engine.
Optimized data pipelines improving efficiency by 14%.

Work Experience

JPMorganChase

Software Engineer II (5 mos)

Software Engineer (2 yrs 4 mos)

ETHIndia

ETHIndia Fellow (2 mos)

Covalent

Data Alchemist (2 mos)

FilterPixel

Software Engineer (3 mos)

Software Engineer (5 mos)

JPMorganChase

Software Engineer (2 mos)

Chegg Inc.

Subject Matter Expert - Computer Science (4 mos)

Complex Systems Laboratory

Software Engineer (1 yr 2 mos)

Education

MSc at University of Oxford

Bachelor of Technology at Netaji Subhas Institute of Technology

Science at Rosary Senior Secondary School

Pranay Kothari

Software Engineer

London, England, United Kingdom2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Developed a decentralized NFT marketplace selected from 10,000+ applicants.
Built the world's first Ayurveda pharmacopoeia search engine.
Optimized data pipelines improving efficiency by 14%.

Stackforce AI infers this person is a Fintech and Blockchain-focused Full-Stack Engineer with strong data science capabilities.

Contact

Skills

Core Skills

Amazon Web Services (aws)Machine LearningBlockchainData AnalysisFull-stack EngineeringData Science

Other Skills

AWS AthenaAlgorithmsAmazon DynamodbAmazon RedshiftAngularJSBitcoinCascading Style Sheets (CSS)Computer VisionData ScrapingData StorytellingData StructuresData VisualizationDatadogDeep LearningElectron.js

About

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Jpmorganchase

2 roles

Software Engineer II

Promoted

Jan 2026 – Present · 5 mos · London · On-site

Amazon Web Services (AWS)SparkPython (Programming Language)JavaScalaSQL+13

Software Engineer

Sep 2023 – Jan 2026 · 2 yrs 4 mos · London · On-site

Worked on a big-data strategic platform 1.2+ PB data at scale processing market risk data, EOD PnL, and stress testing data, supporting key market risk, financial, and regulatory processes & collaborated with cross-functional teams to automate and optimise end-of-day reporting workflows, reducing manual intervention and improving data quality for traders, product controllers and risk managers across across various asset classes (Equities, Rates, Credit, Commodities, Fixed Income, etc)
Optimized End-of-Day risk data pipeline efficiency by 14% by migrating from HBase to AWS Elasticache, built a Java-based Kafka-to-AWS migration tool for data replication and optimised the querying performance from AWS Redshift by almost 30%, enhancing scalability and system reliability
Led the design and implementation of scalable, serverless AWS data pipelines for end-to-end machine learning model training (SageMaker, Apache Iceberg) in real-time, directly influencing business decision-making and improving data-driven insights
Designed and implemented an Agentic AI chatbot POC using LangChain and LangGraph for natural language querying of AWS Athena databases, enabling product controllers to extract query insights, reducing analytics turnaround time
Developed and deployed ML models for predictive analytics (query runtime, PnL data reconciliation) in production, automating manual processes

SolidityNode.jsEthereumReact.jsPolygonBlockchain

Ethindia

ETHIndia Fellow

Feb 2023 – Apr 2023 · 2 mos · Remote

Built KratoSwap, a decentralised NFT Marketplace Platform using AMMs, running exclusively on Polygon
Users can instantaneously exchange NFTs with others at a fair price, eliminating the need to wait for an offer

Multi-Chain AnalysisData AnalysisData StorytellingBlockchainweb3Data Visualization

Covalent

Data Alchemist

Oct 2022 – Dec 2022 · 2 mos · Remote

Covered in-depth Reach, Retention, and Revenue (RRR) reporting across multiple blockchains, protocols and user types on Covalent's Increment Platform
Was responsible to create SQL-based analytical content
Content included Reach, Retention, and Revenue relevant to a business, Multi-Chain Analysis, Data Storytelling and Data Labelling

MongoDBNode.jsAngularJSPython (Programming Language)Electron.jsReact.js+6

Filterpixel

2 roles

Software Engineer

Sep 2022 – Dec 2022 · 3 mos · Noida, Uttar Pradesh, India · Hybrid

Worked on building the FilterPixel Editing LR Plugin for Adobe Lightroom Classic using Lua
Fixed various bugs that the users experienced on the FilterPixel application
Improved the FilterPixel website's performance by implementing SEO fixes

SolidityGanacheTornadoPython (Programming Language)React.jsJavaScript+3

Software Engineer

Jan 2022 – Jun 2022 · 5 mos · Noida, Uttar Pradesh, India · Hybrid

Worked on the AI culling software, which is designed for photographers to help cull their images automatically
Improved the application's performance and fixed various bugs that the users encountered
Also helped in improving the machine learning model of the software

Machine LearningPython (Programming Language)React.jsGitSQLAlchemyData Analysis+7

Jpmorganchase

Software Engineer

Jun 2022 – Aug 2022 · 2 mos · London · On-site

Worked with the Markets DLT Team, in Corporate Investment Banking Division
Researched and implemented new use cases of Blockchain Technology using Quorum Network
Explored various DeFi applications, including Automated Market Makers and assessed their viability

Node.jsAngularJSMicrosoft AzureMachine LearningPython (Programming Language)React.js+8

Chegg inc.

Subject Matter Expert - Computer Science

Feb 2021 – Jun 2021 · 4 mos · Delhi, India · Remote

Solved 100+ questions with detailed explanation on various Computer Science concepts that includes Machine Learning, Data Structures, Operating Systems, Database Management Systems etc
Clarified follow-up queries of students via comments and forum discussions

Complex systems laboratory

Software Engineer

May 2020 – Jul 2021 · 1 yr 2 mos · Delhi, India · Remote

Built Ayurveda Informatics, the world’s first Ayurveda pharmacopoeia search engine and data analytics platform, under the mentorship of Dr Ganesh Bagler and Mr Rishi Agarwal at Complex Systems Laboratory, IIIT Delhi
Integrated RecipeDB with Ayurveda Informatics to generate thousands of Indian recipes and to enable data-driven explorations of recipes & Ayurveda
The project drove original efforts in the field of Computational Gastronomy pioneered by Dr Ganesh Bagler