Hi, I am Mohd Uwaish
Full Stack AI Engineer & Data Scientist
I specialize in developing Machine Learning systems, fullstack web applications, RAG systems and leveraging data science to solve real-world problems. Currently pursuing my MSc in Applied Computer Science with a specialization in Data Science at Georg-August-Universität Göttingen.
About Me
Full Stack AI Engineer & Data Scientist
I am a Master's student in Applied Computer Science with a specialization in Data Science at Georg-August-Universität Göttingen. I have experience in full-stack development, data science, and machine learning, working on innovative solutions across multiple domains.
My expertise includes technologies like Python, JavaScript, Django, Flask, React, and Next.js. I am passionate about Natural Langauage processing, Deep Learning, RAG Systems, building scalable web applications, developing data-driven insights, and deploying machine learning models for real-world applications.
In my free time, I enjoy exploring new technologies, working on open-source projects, and engaging with the developer community.
Name:
Mohd Uwaish
Email:
mohd.uwaish@stud.uni-goettingen.de
Location:
Germany
Availability:
Open to opportunities
GitHub Activity
What am I doing currently?
amotogs.com
An e-commerce webapp in Next.JS and Supabase to sell kids fashion cloths in Indian Market
Class Overlapping benchmark
Reserachng on class overlapping problem in classification task in machine learning, Implementing the benchmark system to investigate the multiple data-level handling techniques.
oTree Proxy Server
A proxy server facilitating gender based group making participants, redirecting the group from Prolific platform to Otree experiment and redirect each group back to Prolific from experiemnt ensuring smooth Experience.
Research Assistant work
Building model to predict electricity price and demand using Time-series data and Sentiment Score of new articles and social media discussion.
Professional Experience
My professional journey and the valuable experience I've gained throughout my career.
Research Assistant - Deep Learning and Natural Language Processing
Fraunhofer-Einrichtung für Energieinfrastrukturen und Geotechnologien IEG
AI for Energy and Electricity demand prediction - Researching News and public sentiment analysis for predicting energy consumption patterns using deep learning techniques.
Responsibilities
- Conduct Literature research on state-of-the-art techniques for sentiment analysis and energy consumption prediction.
Student Assistant - Department of Economics
Georg-August-Universität Göttingen
Developing user-friendly economics experiments using frontend technologies and django-based oTree framework.
Responsibilities
- Developing user friendly economics experiments using the frontend technologies and django based oTree framework
- Implementing chat and video communication features to enhance facilitating participant interaction, experimental realism and data collection
- Conducting data analysis for the experiments, employing statistical methods and visualization techniques to derive insights
Midi Job - Software Development
Niedersächsische Akademie der Wissenschaften zu Göttingen
Supporting the development and maintenance of academic web portals using Next.js, assisting with code implementation, documentation, and testing.
Responsibilities
- Improved the user Interface of central logging web application of adw.
- Implemented pagination and dynamic items rendering on a page to improve performance and reduce load times.
- Implemented the scheduler to delete logs older than 30 days from the database.
Working Student - Software Development
Niedersächsische Staats- und Universitätsbibliothek Göttingen
Supported the development and maintenance of academic web portals using Next.js, assisting with code implementation, documentation, and testing.
Responsibilities
- Developed and maintained 5+ reusable UI components for the digital library web portal using Next.js, improving code consistency and reusability.
- Assisted in writing technical documentation for 80% of newly implemented features, reducing onboarding time for new team members by 25%.
- Reviewed and tested approximately 5-7 pull requests per week, helping maintain code quality and reduce production bugs.
- Contributed to CI/CD improvements by automating 2+ small tasks, reducing deployment overhead by 15%.
- Helped implement bilingual (German/English) content management features for 100+ scholarly articles, improving accessibility for international users.
- Set up and maintained local development environments using Docker and ddev, reducing setup time for new contributors by 40%.
Software Engineer
Tata Consultancy Services Private Limited
Developed full-stack solutions for the PENALTY module of the Income Tax Business Application (ITBA).
Responsibilities
- Developed full-stack solutions for the PENALTY module of the Income Tax Business Application (ITBA) using HTML, CSS, JavaScript, Java, PL/SQL, and Oracle Database, resulting in a 20% increase in user engagement and a 15% reduction in processing time for tax filings
- Implemented complex business logic and dynamic functionalities in the back-end by writing optimized Java code integrated with Oracle database
- Designed and executed database queries, PL/SQL procedures, triggers, and functions, optimizing data models and achieving an 18% reduction in database response time to enhance UI responsiveness
- Leveraged Agile methodologies to iteratively develop and deploy functionalities, resulting in 9 successful change requests and 3 new functionalities released in a fast-paced environment, consistently aligned with evolving user requirements
My Projects
Here are some of my latest projects. These include NLP applications, chat analysis tools, web scraping platforms, AI-driven recommendation systems, and a machine-learning-based browser extension.
My Skills
HTML/CSS
95%JavaScript
95%TypeScript
90%React
95%Next.js
90%Tailwind CSS
90%Framer Motion
85%Latest Articles
Thoughts, stories and ideas about web development, design, and technology.