CSE · Software Engineer
Building reliable software and learning fast.
M.S. CS @ UBuffalo · Full-Stack + ML/AI
Hi, I'm Yasaswi Raj Madari — building full-stack features that ship, with ML/AI on the side.
2+ years at FactSet + SafetyKnights shipping Angular, React, FastAPI, and C++ features. Led test migrations that cut flakiness by 20%. Now pursuing M.S. in CS and leveling up in PyTorch, NLP, and production ML.
Profile
Software Engineer
Currently
M.S. Computer Science @ UBuffalo. Building SafetyKnights marketplace. Leveling up in ML/AI.
Looking for
SWE / Full-stack / ML internships & new grad roles. Strong product + performance mindset.
2+
years SWE
5/5
Google Foobar
#17
IEEExtreme 14.0
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Skills
What I bring to a team
A blend of computer science rigor and product thinking. I value clarity, observability, and building foundations that scale with the roadmap.
Full-stack Engineering
Building end-to-end features that ship. Frontend polish meets backend reliability.
Testing & Performance
Migrated test suites, reduced flakiness ~20%, cut test time ~30-40%. Quality at scale.
ML/AI Toolbox
PyTorch, TensorFlow, NLP pipelines. Building real things and measuring if they work.
Projects
Selected work
I thrive in the intersection of product and platform: building experiences that feel sharp, while making sure the system underneath is easy to maintain and extend.
A.R.M.A (coding.Studio())
In-depthAutomated event-permission and facility-booking workflows for campus management.
Reduced admin workload by ~40% through streamlined approval processes.
Debugging C (IEEE - VBIT SB)
In-depthBuilt a competitive coding platform focused on C optimization with real-time leaderboards.
Designed database schema, built full-stack app, and deployed on PaaS.
NLP: Document Summarization
In-depthNLP pipeline using NLTK + spaCy for extractive text summarization with evaluation metrics.
Built modular pipeline with POS tagging, NER, and ROUGE evaluation.
Experience
How I work with teams
From internships to research labs, I ship in small increments, keep stakeholders in the loop, and lean on metrics and documentation to de-risk delivery.
Software Engineer
SafetyKnights
- Built full-stack marketplace web app connecting EHS safety professionals with clients via job posting + bidding.
- Frontend: Angular 19 + TailwindCSS. Backend: FastAPI + SQL with reusable, scalable services.
Software Engineer
FactSet
- Built AngularJS 1.x UI components for financial apps. Developed C++ components with REST microservices (~25% efficiency gain).
- Led test migration Protractor → Cypress → Playwright: reduced test time ~30-40%, cut flakiness ~20%.
ML/AI direction
Building ML skills the right way
M.S. coursework in ML, Deep Learning, Computer Vision. Building NLP pipelines, training models, and learning to ship them in production — not just Jupyter notebooks.
PyTorch + NLP pipelines
Building text summarization, transformers, and evaluation workflows. Real implementation, not just theory.
Computer Vision
Coursework + projects in image processing, object detection, and deep learning architectures.
Production mindset
Not just training models — shipping them. Evaluation metrics, monitoring, and human-in-the-loop design.
Mindset
Code + cameras + caffeine.
I ship features, migrate test suites (yes, survived Protractor), and dabble in design + video editing. Also: debugging with layers and patience. Buffalo winters taught me that.
Fast iteration over perfection. Shipped A.R.M.A, Debugging C, and reduced FactSet test flakiness by 20%.
Full-stack foundation + ML learning curve. Not claiming AGI — just building real things that work.
Google Foobar 5/5, IEEExtreme rank 17/4000. Competitive coding meets production software.
Let's talk
Open to SWE, Full-stack, and ML internships + new grad roles.
Looking for teams that ship fast, value testing, and care about product. Bonus points for ML/AI work. I respond quickly — let's build something.