Rishit Reddy Palle

Full-stack developer · Master's student in Machine Learning & Image Analysis, Uppsala University

Rishit Reddy Palle

About

I'm currently doing my Master's in Machine Learning & Image Analysis at Uppsala University, following on from my bachelor's thesis on using data augmentation to improve MobileNet's performance on handwritten signature identification. Below is a mix of what I've built and the roles I've had along the way.

Work Experience

Looking back at all of this, the common thread is that I've mostly learned by being thrown into things without a full playbook, whether that's a new stack, a new product, or a room full of stakeholders who need convincing.

AxiogreenMachine Learning Engineer (Intern)June 2026 – August 2026
Machine LearningModel Predictive ControlMultilinear RegressionSimulation

Axiogreen was an early-stage startup with a very lean team, so I ended up with a lot of ownership over the ML side of their building-automation platform, which controls how buildings get heated. The existing system was rule-based, and I worked on moving that decision-making toward a model predictive control approach instead, using a multilinear regression model to predict how the building would respond to different heating inputs. Before any of that could go near a real building, I designed a physics-based simulator built around an RC (resistance-capacitance) thermal model, which meant going through a fair number of peer-reviewed papers to get the modeling right.

NoGappsFull Stack InternJuly 2024 – December 2024
FastAPINextJSMedusaJSStripeJotFormDigitalOcean

At NoGapps I worked on internal order management tools built with FastAPI and MedusaJS. There wasn't much onboarding, so I picked up MedusaJS and Next.js mostly by reading docs and just building. I put together the frontend in Next.js, wired up JotForm-based workflows, and spent a good chunk of time chasing down Stripe checkout bugs. I also talked to clients directly, which meant the scope shifted more than once and I had to get comfortable adjusting on the fly.

MocXCo-FounderAugust 2021 – June 2023
ReactJSTailwindCSSDjangoGCPRazorpayPostgreSQLFigma

MocX was a mock interview platform I co-founded, built with React, Tailwind, Django, and GCP. I owned most of the product side: interview scheduling, feedback reporting, the whole session flow, plus integrating Razorpay for payments and running the PostgreSQL backend behind user data and feedback logs. I ran the user interviews myself and used what I heard to keep reworking the UX in Figma. It's probably the project that taught me the most about shipping something end to end, not just the code but the decisions around it.

IGNITE SVUCEChief Strategy OfficerFebruary 2022 – January 2023
LeadershipStrategySustainabilityPublic SpeakingTeam Management

As Chief Strategy Officer at IGNITE SVUCE I led a cross-departmental sustainability initiative called Prakruthi Suraksha, and helped get Coding and Book Clubs running as regular weekly sessions. I pitched and helped implement a QR-based carbon offset tracking system, and spent a lot of time on the less technical side of things: growing club participation, planning events, and getting different stakeholders aligned behind one pitch. It was a good contrast to my technical work and taught me a lot about explaining ideas to people who don't think in code.

Projects & Research

View all 13
AI Generated Image depicting Signature Verification

Bachelor’s thesis investigating how affine data augmentation (rotation, scaling, translation) improves the performance of MobileNetV3-Small in handwritten signature identification using the BHSig260 Hindi dataset.

Python · TensorFlow · Keras · AWS EC2

Youtube Ad Skipper Hero Image

Developed a lightweight Chrome extension that detects YouTube ads and temporarily increases playback speed to reduce ad viewing time without blocking or removing content.

JavaScript · Chrome Extensions

Cropneeds

CropNeeds is a personal project focused on building a scalable e-commerce platform for farmers to browse and purchase agricultural goods using React, Firebase, and OpenAI API integration.

ReactJS · Firebase · Github Pages · Github Actions

kjhkjh

CogniHive is a mobile app that blends educational collaboration with social networking, helping students find study partners, join study events, and enhance academic interaction.

Flutter · Firebase · Firestore · Google Calendar

Skills

Frontend:ReactJS, Next.js, TailwindCSS, TypeScript
Backend:Django, FastAPI, ExpressJS, PostgreSQL
DevOps:Docker, Kubernetes, AWS, Terraform, GitHub Actions, Google Cloud
Data:Firebase
ML:TensorFlow, LangChain
Design:Figma

Contact

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