
π€ AI Geek | π LLM Enthusiast | π NLP Explorer | π» Machine Learning Maven | π§ Deep Learning Enthusiast
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
Simplified-ETL-Pipeline-using-Apache-Airflow-from-NewsAPI-and-into-MySQL
October 22, 2024 β October 22, 2024
Simplified-ETL-Pipeline-using-Apache-Airflow-from-NewsAPI-and-into-MySQL β GitHub repository
View ProjectAudio-Classification-on-Environmental-Sounds-by-analysing-Mel-Spectograms-with-CNN-
October 17, 2024 β October 17, 2024
Audio-Classification-on-Environmental-Sounds-by-analysing-Mel-Spectograms-with-CNN- β GitHub repository
View ProjectImplementing-Spark-Pipelines-for-Mobile-Usage-and-Behavior-Analytics-Leveraging-SparkSQL
October 8, 2024 β October 23, 2024
Implementing-Spark-Pipelines-for-Mobile-Usage-and-Behavior-Analytics-Leveraging-SparkSQL β GitHub repository
View ProjectMath-Problem-Solver-Using-Qwen2-VL-OCR
October 8, 2024 β October 8, 2024
Math-Problem-Solver-Using-Qwen2-VL-OCR β GitHub repository
View ProjectLandslide-Segmentation-Using-U-Net-and-Satellite-Imagery
October 7, 2024 β October 7, 2024
Landslide-Segmentation-Using-U-Net-and-Satellite-Imagery β GitHub repository
View ProjectFine-Tuning-of-LLMs-for-Sequence-Classification-BERT-and-LLaMA-with-Soft-and-Hard-Prompting
October 7, 2024 β October 7, 2024
Fine-Tuning-of-LLMs-for-Sequence-Classification-BERT-and-LLaMA-with-Soft-and-Hard-Prompting β GitHub repository
View ProjectSmart-Crop-Disease-Detection-using-PL
September 25, 2024 β September 29, 2024
Smart-Crop-Disease-Detection-using-PL β GitHub repository
View ProjectDVC-Steel-Plate
September 20, 2024 β September 20, 2024
DVC-Steel-Plate β GitHub repository
View ProjectMulti-Agent-Code-Orchestrator-using-CrewAI
August 14, 2024 β September 8, 2024
Multi-Agent-Code-Orchestrator-using-CrewAI β GitHub repository
View ProjectFineTune-Mistral-using-DPO
February 9, 2024 β February 9, 2024
FineTune-Mistral-using-DPO β GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in cutting-edge AI/ML topics, which aligns well with an innovative and research-driven culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond technical alignment. The projects are diverse within the AI/ML domain, indicating a broad interest in different applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.