
I am working on ML integration and deployment aspects in current organization.
AI is analyzing your overall score…
Identifying your key strengths…
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.