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Machine learning Engineer
Data Scientist
June 16, 2026 – Present
ltx2-vidgen-skill
June 7, 2026 – Present
Own your AI video pipeline. LTX-2.3 (22B) self-hosted on your Modal GPU via a Claude Code skill — t2v, i2v, keyframes, v2v + synced audio. ~$0.02 per 5s clip, idle = $0.
View Projectmarketing_media_planner
March 25, 2025 – March 27, 2025
marketing_media_planner — GitHub repository
View Projectplotbot
April 27, 2024 – April 27, 2024
A Plot maker for Movies which can generate screenplays, review to posters to see if the movie can pass the audience test and provides an indicative score of success
View Projectfastapi_sentiment_analysis_containerized
June 10, 2022 – June 11, 2022
fastapi_sentiment_analysis_containerized — GitHub repository
View ProjectGenetic-Algorithm-on-K-Means
May 19, 2021 – May 19, 2021
Implemented the research paper on Enhanced genetic Algorithm for centroid initialization in k-means algorithm by (Mustafi et al., 2017).
View Projectgender_classifier
March 19, 2021 – March 19, 2021
Using NLTK and naive bayes for classifying gender names
View ProjectIoTmalwareCNN
July 11, 2019 – April 4, 2025
Identification of different classes of Malware using a shallow layered convolutional neural network -Converting the binaries of malware code into grayscale images, then packing them and preparing datasets. -Training a convolutional neural network on the prepared datasets to identify and classify the IoT malware families into goodware and DDOS malware.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML. However, the single listed 'experience' entry as 'Machine learning Engineer' with 'Data Scientist' role starting in the future (2026) and an experience level of 0 suggests a very early career stage or a placeholder entry. This makes it difficult to assess cultural fit for a senior role without more concrete professional experience. The project diversity is good, but alignment with a senior Data Scientist role is limited by the lack of professional context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.