A passionate ML engineer with expertise in select areas and a broad working knowledge across diverse topics.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Johnson Control
Data Scientist
June 18, 2026 – Present
SquidGames-RLGL
December 28, 2024 – December 28, 2024
A python module to play RLGL physically and mimic the function of watch girl with camera in eyes.
View ProjectResume
August 20, 2023 – April 28, 2025
My resume in pdf. Hosted on a URL linked in resume and other places.
View ProjectLLM-Courses-summary
July 27, 2023 – July 27, 2023
LLM-Courses-summary — GitHub repository
View ProjectKnowledge_Distillation_advanced
February 2, 2023 – February 2, 2023
Advanced experiments and research paper implementation for Knowledge distillation
View ProjectDental-Xray-anamoly-detection
December 6, 2022 – April 4, 2025
Detect dental anomalies such as missing teeth, implants, or lesions using a YOLOv8-based pipeline combining both object detection and mask segmentation.
View ProjectCycleGAN__Tensorflow_Keras
October 25, 2021 – October 25, 2021
#Tensorflow #keras based implementation of the #CycleGAN paper. This utilizes the network created from the keras functionality included in the tensorflow.
View Projectcontui
August 3, 2020 – April 21, 2023
An interface to select the best suited image for a given word
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards machine learning and data science, aligning with a Data Scientist role. However, the projects are all personal, and there is no information on team collaboration or contributions to open-source, which limits the assessment of cultural fit. The listed experience at Johnson Control starting in 2026 is unusual and cannot be fully evaluated without clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, but they have a current Data Scientist role starting in 2026, which is inconsistent. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.