
Hi, I'm Mohith. I am a Software Engineer with a unique blend of AI/ML, Gen AI and Full Stack experience for 3+ years working full-time. I enjoy building products end to end using Python, JavaScript/TypeScript and Java .
About me
After graduating from my Masters in Computer Science from Columbia University, I decided to continue this. I worked as a Machine Learning engineer building Machine learning models in the Cloud Services industry, then as a Founding Software engineer building AI oriented products end to end.
I'm always excited to build new products that impact people. I am currently looking for a full-time position as a Software Engineer.
When I'm not coding, I enjoy hiking, going to the museum, watching movies, and playing video games. I also enjoy learning new things. I am currently learning about VisionOS based development history and philosophy. I also play the keyboard and basketball on the side.
Open Source projects
My PortFolio
My Awesome Portfolio as a Full Stack and AI Developer ;)
- Next.js
- TypeScript
- Shadcn UI
- MUI
- Tailwind CSS
- Context API
- Framer Motion
- Resend Email API
- Git
- GitHub Copilot
- Vercel
Github Org History
Full Stack and FinTech Project with ForeCasting API
- Vue.js
- Vite
- Typescript
- Go
- JavaScript
- Git
- Vercel
- Tailwind
- Docker
- CSS
- GraphQL
- REST
- API
- Python
Spark - Fintech App & Payments
A sophisticated form with payments and FinTech capability
- ML
- ETL
- Python
- Big Data
- DL
- React
- Redux
- JS/TS
- MUI
- Tailwind
- Square Payments SDK
- Firebase
- REST & GraphQL API
- SQL
- CI/CD
Medical Report Next.js Website
Simple website using MUI to simulate a JSON request based medical report platform using Next.js
- Next.js
- MUI
- React
- TypeScript
- JavaScript
- API
- REST
- GraphQL
- LLM
- Tailwind
- Vercel
Cost of Living Prediction React.js Web App
Simple website to predict living costs using React.js, Docker and JavaScript
- React.js
- JavaScript
- MUI
- Docker
- API
- REST
- JSON
- HTML
- CSS
- Vercel
Wifi Token based React Native iOS App
React Native Based iOS appliction to log Wifi Tokens at NSRCEL IIMB
- React Native
- Ionic
- Angular
- Typescript
- FireBase
- HTML
- CSS
- JavaScript
- Xcode
- Swift
- Automation
Medical Survey Android App
Made for the Medical Department to analyze their 'Students in Villages' knowledge
- Android
- Java
- FireBase
- Android Studio
Sporting Area Finder App
Android App to provide the details of the stadium that is free for playing of the sport to be hosted at the specific places.
- Android
- Java
- FireBase
- Android Studio
MQuiz App
My First Ever Project;) It is a very basic Android quiz app with the functionalities required to make it user friendly
- Android
- Java
- FireBase
- Android Studio
LLM Eval AI Application
My LLM Eval AI Developer Tool to structure LLM Pipeline responses from GPT-4
- Flask
- Python
- HTML
- CSS
- Parallel computation
- OpenAI's GPT-3.5
- LLM
- HuggingFace
- DataBricks
- MLFlow
- Benchmark Evaluation
Anomaly Detection using ML
Open Source ETL, Data Processing and Anomaly detection of a Log based dataset using Machine Learning
- Data
- ETL
- ML
- Anomaly detection
- IsolationForest
- Python
- Jupyter Notebook
- Shap
- ScikitLearn
- Ensemble Learning
Prevention of Economic Fraud using NIDS and ML
Open Source ML KNN based intrusion detection FinTech powered Android App
- Python
- Data
- FinTech
- ETL
- NLP
- ML
- SQL
- MongoDB
- UNSW NB15 Dataset
- Fraud detection
- KNN Classification
- Credit Card Transactions
- Java
- Android
- ScikitLearn
- TensorFlow
- PyTorch
- Jupyter Notebook
Movie Script based LLM Keyword Generation
LLM Custom Spacy application. Built on python and OpenAI's GPT-4 LLM API with custom scene evaluation to detect SUBJECT, VERBS and OBJECT from the scene.
- Data
- ETL
- Python
- NLP
- JSON
- LLM
- ML
- OpenAI's GPT-4
- Spacy
- HuggingFace
- REST API
- PyTorch
Cyberly
To create a plugin and Application to the existing social media platforms in the form of an anti-cyberbullying API.
- Python
- ML
- Sentiment Analysis
- IBM Watson API
- Reverie Translation API
- GraphQL
- REST API
- FireBase
- Google Cloud
- Java
Voice Activity Detection on Cloud using LLM
OpenAI GPT-4 LLM based Voice Activity Detection on Cloud using Silero VAD deployed on Docker, Kubernetes
- Backend
- Python
- LLM
- Docker
- Kubernetes
- OpenAI's GPT-4
- OpenPipe
- HuggingFace
- Silero VAD
- REST API
- Web Sockets
- AudioOp
- PyTorch
Event Recommendation using ML
Dynamic Recommendation of Events using ML based on type, time and location
- ML
- Python
- Classification
- Traditional ML
- Data
- ETL
- Hyperparameter tuning
- ScikitLearn
- FireBase
- MatplotLib
- NLP
- RandomForestClassifier
- LinearSVC
- MultinomialNB
- LogisticRegression
Satellite Image Detection using Computer Vision
Simple Image processing project for the detection of vehicles from a Satellite image using Computer Vision
- ML
- Python
- Computer Vision
- Traditional ML
- Data
- ETL
- OpenCV
- ScikitLearn
- Scipy
- CV2
Treatment Recommendation System - ML
Employee Mental Based Health recommendation system based on Logistic Regression ML model
- ML
- Python
- TensorFlow
- Traditional ML
- Data
- ETL
- SVC
- LightGBM
- Logistic Regression
- ML infrastructure
- ML on Cloud
- Azure
CTF using Go
A capture the Flag contest script written using Go
- Web application
- Go
- CTF
- msgpack
- Reverse Engineering
My Skills and Platforms
- Python
- JavaScript
- TypeScript
- Java
- Generative AI
- LLM
- Swift
- J2EE
- C
- C++
- Angular
- JSON
- SQL
- MySQL
- PL/SQL
- PHP
- HTML
- CSS
- Go
My Platforms and Technologies
- Android Studio
- Angular.js
- AWS
- CI/CD
- Django
- Docker
- Data ETL
- DataBricks
- Express
- LangChain
- Figma
- Firebase
- Flask
- Framer Motion
- Git
- Google Cloud
- GraphQL
- GPT-4
- HuggingFace
- Ionic
- Jupyter Notebook
- Keras
- MUI
- ML
- MongoDB
- Next.js
- NLP
- Node.js
- OpenAI
- OpenPipe
- Pinecone
- Payments SDK
- PostgreSQL
- PyTorch
- React
- React Native
- REDUX
- REST API
- SciKit-Learn
- Shadcn UI
- Stable Diffusion
- Tailwind
- TensorFlow
- Vercel
- Vue.js
- VSCode
- Vite
- XCode
My experience
Contact me
Please contact me directly at mm5874@columbia.edu or through this form.