💻 Specialization: Software Engineering - AI/ML Engineering
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Smart-IT-HelpDesk
May 9, 2025 – May 26, 2025
An AI-powered IT Help Desk leveraging Python, Twilio, Qdrant, and SendGrid for automated support, semantic search, and feedback-driven learning.
View ProjectEFHInnovationSprint2025
April 10, 2025 – April 10, 2025
This repository contains the winning entry of the EFH 2025 Sprint Hackathon, dedicated to enhancing AI for scientific research and financial applications. Within this repo, you’ll find the interactive Jupyter notebooks that detail our innovative approach to improving large language models (LLMs) and developing advanced tools. Make them ReACT.
View ProjectBuild-a-Mood-Based-Cinematic-Curator-with-OpenAI-and-Twilio-SendGrid
October 16, 2024 – October 23, 2024
In an era of information overload and decision fatigue, tools that simplify our choices while catering to our emotional needs are invaluable. The right movie can turn your day around. Feeling down, anxious, or stuck? Movies tap into emotions and offer escape or a refresh. The Mood-Based Cinematic Curator syncs your mood with the perfect film.
View ProjectReal-Time-Collaborative-Drawing-App-with-Next.js-Socket.IO-and-Strapi
May 16, 2024 – May 18, 2024
Real-Time-Collaborative-Drawing-App-with-Next.js-Socket.IO-and-Strapi — repository
View ProjectFace-Check-In
February 12, 2024 – February 12, 2024
Application designed to automate attendance tracking using face recognition technology. It allows users to register their faces and then automatically mark their attendance when they appear in front of a camera.
View Projectspeed
June 27, 2023 – June 27, 2023
Estimation of distance of bodies in motion and finding their relative speed
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, particularly in AI/ML, which aligns with an innovative and self-driven culture. The diversity of projects, from attendance systems to cinematic curators, indicates a broad interest in applying technology to various problems. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment. The projects are primarily focused on Python and web technologies, which is a good foundation for a Data Scientist role, but the breadth of data science specific tools and methodologies is not extensively demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions are generally clear, indicating a foundational level of communication. The focus on personal projects suggests self-motivation and a proactive approach to learning. However, without formal work experience or detailed project contributions, it's difficult to assess stress handling, team collaboration, or professional communication in an operational context.