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I am working on ML integration and deployment aspects in current organization.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pi05-mlx
May 4, 2026 – Present
pi0.5 robotics policy (Physical Intelligence) ported to Apple Silicon MLX — 4-bit quantized, runs on 8GB M1 in ~2s
View Projectexperiments_with_mlflow_databricks
October 15, 2025 – October 16, 2025
experiments to deploy llm models in mlflow as databricks endpoints
View Projectcctv_ai_and_opensource_vision_llms_for_ai.bits
October 20, 2023 – January 19, 2025
cctv_ai_llava_minigpt_2_product_deployment
View Projectstable_diffusion_inputs
September 16, 2022 – September 16, 2022
stable_diffusion_inputs — GitHub repository
View Projectbookmyshow_caw_studios_submission
December 27, 2021 – December 27, 2021
interview_submission_of_caw_Studios
View Projectefficientdet_fire_detection
October 8, 2020 – December 5, 2020
experiments with efficientdet training for fire detection
View ProjectML_DL_Interviews
August 10, 2018 – August 29, 2018
What i have faced during job search for ML/DL
View ProjectCultural Fit Analysis
The candidate shows initiative through several personal projects, indicating a self-starter attitude. The diversity of projects, from robotics to LLM deployment, suggests a broad interest in AI/ML applications. However, the lack of detailed descriptions makes it difficult to fully assess alignment with specific team dynamics or cultural values.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are very brief, limiting insight into collaboration or problem-solving approaches.