Darshan Abhaykumar

Data Engineer

Bangalore Urban, Karnataka, India2 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed a high-traffic responsive app in under three months.
Reduced data consumption by 6× using innovative models.
Created AI agents for popular applications enhancing automation.

Stackforce AI infers this person is a Fintech and B2C-focused developer with expertise in AI and mobile applications.

Contact

Skills

Core Skills

FlutterArtificial Intelligence (ai)Quantitative FinancePython (programming Language)Data AnalysisJavaMasm

Other Skills

Amazon Web Services (AWS)Android DevelopmentAngularJSCloud FirestoreCosmJSFlaskJavaScriptLarge Language Models (LLM)Microsoft ExcelMultithreadingNode.jsPandasQuantitative AnalyticsSQLSpring Boot

About

I enjoy coding in my free time and working on projects, which mostly remain incomplete. Recently, I have tried to make my code and repos as helpful and readable as possible. Feel free to ask for doubts and give suggestions on any of my repos. Github: https://github.com/Darsuu

Experience

Greenland investment management

Data Engineer

Jul 2025 – Present · 8 mos · Mumbai, Maharashtra, India · On-site

Data Infrastructure team

Cenizas labs, inc.

AI/SW Engineer

Aug 2024 – Jul 2025 · 11 mos · Chennai, Tamil Nadu, India · On-site

Developed and deployed a responsive Flutter app for iOS and Android in under three months, capable of handling ~ 20,000 daily active users and 1,000 concurrent users
Reduced high data consumption from IMU by using linear interpolation models, reducing data usage by 6×
Optimized the multi-agent, graph-based workflow by parallelizing execution using map-reduce branches in LangGraph, resulting in a 30% improvement in workflow speed
Developed AI agents to autonomously perform tasks for widely used applications such as DocuSign, Reddit, and QuickBooks, using LLM wrappers and Python

FlutterAndroid DevelopmentiOS DevelopmentAmazon Web Services (AWS)Cloud FirestoreArtificial Intelligence (AI)+2

Greenland investment management

Quantitative Research Intern

Jan 2024 – Jun 2024 · 5 mos · Mumbai, Maharashtra, India · On-site

Interned at the Commodities desk at one of the largest buy-side hedge funds in India

Python (Programming Language)PandasMicrosoft ExcelMultithreadingQuantitative FinanceQuantitative Analytics

Societe generale global solution centre

Intern

Jun 2023 – Aug 2023 · 2 mos · On-site

Developed products to mitigate counterparty risk by monitoring cross-border and domestic SEPA transactions using Machine Learning and Python, adopted by over 100 clients
Performed data sanity checks and analysis on payment transactions, settlements, and account types using Python and SQL queries in DBeaver
Refactored more than 50% of the legacy code by removing the outdated filters and creating a filter class to increase the code scalability and adhere to the encapsulation principle
Followed Agile SDLC by planning phases in the form of project increments and sprints by coordinating with several geographically dispersed teams

Data AnalysisPython (Programming Language)SQLJavaSpring Boot

Birla institute of technology and science, pilani

Teaching Assistant

Jan 2023 – May 2023 · 4 mos

Chosen as one of 1000 students for a 5-month teaching assistant position to monitor the labs and
update the content on MASM and x86-based processors tailored to 500+ students
Modified existing content by introducing new topics such as VGA and added new practice problems
Partnered with other assistants to clarify student doubts during labs and received positive feedback

MASMx86 Assembly