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spanish-eit-transcription-pipeline
March 1, 2026 – Present
An automated speech recognition (ASR) pipeline for transcribing Spanish Elicited Imitation Task (EIT) recordings. It uses Faster Whisper for transcription, Silero VAD for speech detection, and Levenshtein distance for matching transcribed output to a fixed set of 30 target stimulus sentences — exporting results to formatted Excel sheets.
View Projectmalaria-vector-taxon-classifier
March 1, 2026 – Present
A scalable, memory-efficient machine learning pipeline for species classification within the Anopheles gambiae complex using whole-genome SNP data from the MalariaGEN Vector Observatory.
View Projectmachine-learning-projects
January 5, 2026 – Present
This repository is a collection of ML Projects, built primarily using in Jupyter notebooks.
View Projectmy-ai-archive
January 2, 2026 – Present
A personal knowledge repo with notes from books and courses I work through. Notes focus on ideas I found interesting, missing explanations, useful extensions, and my own summaries rather than full coverage. Notes are not exhaustive. It also includes my solutions to book exercises and course assignments where applicable.
View ProjectIIITH-Computer-Vision-Internship
October 25, 2025 – Present
This repository serves as the official log and portfolio for all work, research, and projects completed during my internship at the IHub-Data at IIIT Hyderabad.
View ProjectNeural_Network_from_Scratch
September 27, 2025 – September 27, 2025
Neural_Network_from_Scratch — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing heavily on Machine Learning and AI. While this demonstrates initiative and a strong interest in a specific domain, there is limited evidence of diverse project types, team collaboration, or experience in broader software engineering contexts that might be expected for a general 'Software Engineer' role. The lack of professional experience or team-based projects makes it difficult to assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style in a team setting.