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Software Development Engineer with 2+ years in AI/ML & MLOps
Software Development Engineer with nearly 3 years of experience designing and deploying AI/ML-driven products across healthcare and industrial domains. Experienced in machine learning, deep learning, signal processing, MLOps, and scalable backend development, with hands-on expertise in Python, RESTful APIs, MongoDB, Linux-based deployments, and production system management. Proven track record of building end-to-end solutions spanning data acquisition, model development, ONNX deployment, MLflow-based model lifecycle management, database optimization, and secure cloud/server infrastructure. Strong analytical and problem-solving skills with a focus on delivering reliable, scalable, and data-driven software products.
Techno Main Salt Lake
Bachelor of Technology · Electrical Engineering
August 1, 2019 – July 1, 2023
Dum Dum Kishore Bharati High School
Higher Secondary
N/A – May 31, 2019
Dum Dum Kishore Bharati High School
Secondary
N/A – May 31, 2017
AIVOT AI Pvt Ltd
Software Developer
July 1, 2023 – Present
Mumbai, Maharashtra, India
YouTube AdView Predictor
June 26, 2026 – Present
Preprocessed video metadata (title, tags, duration, etc.). Performed feature selection and engineering for model input. Implemented regression models and ANN using TensorFlow/Keras. Evaluated performance using MSE and R2 metrics. Tuned hyperparameters for model optimization.
Car Protection System
June 26, 2026 – Present
Developed a vehicle security system with RFID and fingerprint-based access for door locking and ignition control. Integrated drowsiness detection using face recognition and eye aspect ratio (E.A.R) analysis from real-time video feed. Triggered voice alerts when E.A.R remained below a threshold over multiple frames, indicating driver fatigue. Implemented using Python (OpenCV, dlib) and Arduino for hardware interfacing.
IBM Deep Learning with PyTorch, Keras and Tensorflow
IBM
June 1, 2026 – Present
IBM AI Engineering Professional Certificate
IBM
June 1, 2026 – Present
Applied Machine Learning in Python
Unknown
June 1, 2026 – Present
Complete Guide to Python Fundamentals for MLOPs (Linkedin)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from personal ML projects to academic security systems, shows initiative and a broad interest in technology. The current role involves developing AI/ML solutions for healthcare and metal analytics, demonstrating adaptability to different domains. The detailed experience in MLOps, backend development, and security aligns well with a senior SDE role focused on robust, scalable, and secure systems. The candidate's educational background in Electrical Engineering combined with extensive AI/ML certifications indicates a strong drive for continuous learning and skill development.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, problem-solving skills, and a focus on delivering reliable and scalable solutions, indicating a good operational fit. The detailed descriptions of MLOps practices and secure development suggest an understanding of best practices in a production environment.