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Assessing your cultural and operational fit
Langgraph_Letta_Integration
July 3, 2025 – Present
Langgraph_Letta_Integration — GitHub repository
View ProjectLanggraph_MCP_Integration
July 3, 2025 – July 4, 2025
Langgraph_MCP_Integration — GitHub repository
View Projectmnist_pretrained_model
November 17, 2024 – Present
mnist_pretrained_model — GitHub repository
View ProjectSemanticSegmentation-PointLabelling-DeepLabV3-PCrossEntropy-
July 4, 2024 – November 25, 2024
To overcome the challenge of limited point annotation
View ProjectTraffic_Volume_Prediction
December 25, 2023 – January 7, 2025
This Repo contains the Jupyter Notebook used to navigate the complexities of traffic prediction and forecast the traffic flow at a specific junction along the A14 road in the UK.
View ProjectForex_Prediction_Using_Deep_Learning
August 28, 2023 – August 19, 2024
In this Repo we compare three SOTA AI models: LSTM, LGBM and Informer for predicting Forex. The dataset we used was obtained from Interactive Brokers (IBKR) and contained hourly data from 2013 to 2019
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of AI/ML projects (forex, traffic, semantic segmentation, LLM integrations) indicates a broad interest in the field. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.