HAPPY HOURS - EMPLOYEE BURN RATE PREDICTOR
A web application aimed at quantifying and predicting an employee's work pressure and burn rate to aid upper management in making correct decisions.
View Project →Shubhankar Shankar
Software Engineer
About Me
I’m a software engineer who builds systems that are scalable, efficient, and actually useful. Over the past 3 years, I’ve worked with fintech teams to solve problems like optimizing legacy credit systems, reducing API error rates from 8% to under 0.05%, and building dashboards that catch issues before users do.
I’m obsessed with architecting systems that scale without breaking, designing AI-driven financial tools, and making complex backend services feel effortless. Right now, I’m building an autonomous trading algorithm for micro-investments (YUKTI), exploring reinforcement learning for real-world financial inclusion.
When I’m not coding, I’m probably brainstorming fintech ideas, refining my system design knowledge, or analyzing market trends.
Let’s talk about financial inclusion, AI-driven trading strategies, or the hidden trade-offs in system architecture.
Work Experience
| Senior Software Engineer at Bajaj Finserv | August 2024 - Now |
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| Software Engineer at Bajaj Finserv | July 2022 - August 2024 |
| Software Engineer Intern at Bajaj Finserv | January 2022 - June 2022 |
| Freelance Web Developer at Federation of Indian FPOs and Aggregators (FIFA) under NAFED | June 2021 - July 2021 |
| Frontend Development Intern at Gamersback Pvt. Ltd | June 2020 - December 2020 |
Education, Certifications and more
| B.Tech from Vellore Institute of Technology, Vellore (8.47 / 10) | July 2018 - June 2022 |
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| Graduate Record Exam (GRE) (327/340) | March 2024 |
| TOEFL Academic English test (117/120) | August 2024 |
Selected Work
VITALIZER
An iOS app utilizing an Artificial Neural Network to predict coronavirus and heart disease risks based on user health data, implementing and optimizing a machine learning model with Swift and CoreML, ensuring high accuracy and seamless on-device performanc
View Project →CREDIT PULSE REPORT (previously: Credit Pass)
A platform analyzing Experian credit scores (300–900) to detect report errors, visualize repayment trends, and improve loan eligibility via a streamlined 4-step process (preview → download), emphasizing user-centric design and actionable financial insights.
View Project →Get in Touch
Open for opportunities and interesting projects.
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