ML and Backend Engineer | FastAPI, Distributed tasks | Python | Open to opportunities
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend and Applied ML Engineer with experience in building ML systems and backend services. Experienced in Python, FastAPI, and cloud-integrated microservices. Strong foundation in ML algorithms, system design, and scalable architectures.
Islamic University of Science & Technology, Pulwama
Bachelor of Technology - BTech, Computer Science
January 1, 2021 – January 1, 2025
BCBP Solutions LLC
Associate Software Engineer
May 1, 2026 – Present
Bengaluru · Hybrid
andinolabs (Andino Global Tech Private Limited)
Software Intern
September 1, 2025 – February 1, 2026
Bengaluru · On-site
Internzvalley
Machine Learning Intern
February 1, 2024 – April 1, 2024
Remote
PytorchForge
March 1, 2025 – July 1, 2025
A low-code platform for creating deep learning pipelines.
PytorchForge 2.0
January 1, 2025 – Present
Continuation of PytorchForge that aims to make an actual platform for developing of machine learning and deep learning pipelines
Image Classification Trainer
October 1, 2024 – December 1, 2024
Build and train Image Classification Models using GUI to speed up making models and also alow Inference/ Visualizations using Torchviz for models and Saliency Maps. Also provides a FastAPI endpoint for creating Apps in other frameworks.
Animal detection
November 1, 2023 – December 1, 2023
Desktop app to detect animals using tensorflow and pyqt5. Android deployment using flutter and Tflite.
Explainable AI (XAI) Specialization
Duke University
June 23, 2026 – Present
Build Basic Generative Adversarial Networks (GANs)
DeepLearning.AI
June 23, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 23, 2026 – Present
Complete A.I. & Machine Learning, Data Science Bootcamp
Udemy
June 23, 2026 – Present
Machine Learning Specialization
DeepLearning.AI, Stanford University
June 23, 2026 – Present
Google Data Analytics Certificate
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, which aligns with innovative and data-driven cultures. The diverse range of personal projects and certifications indicates a continuous learning mindset. However, the target role is 'Data Analyst', while much of the experience and projects lean heavily towards Machine Learning Engineering and Deep Learning. This creates a potential misalignment with the core responsibilities typically associated with a pure Data Analyst role, which often focuses more on statistical analysis, reporting, and business intelligence rather than model development and deployment. The candidate's experience as an 'Associate Software Engineer' and 'Software Intern' also suggests a strong software development background, which might be overqualified or misaligned for a pure Data Analyst position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and development, particularly in cutting-edge AI/ML fields. Experience in Agile environments suggests adaptability and collaboration. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.