Srinagar, Jammu & Kashmir, India
I am a seasoned Machine Learning Engineer with 10+ years of experience in Machine Learning and Software Development. My focus is on helping startups and enterprises leverage AI to boost their revenue and gain a competitive edge. Successfully generated over $100M in revenue for a mid-scale startup through AI solutions Led a project utilizing Computer Vision to detect Covid from eye images , resulting in $12.6M funding and acquisition by a S&P 500 company "Top Rated Plus" freelancer on Upwork, placing in the top 1% of talent on the platform Holds a Master's in Information Technology Ready to partner with businesses and take them to the next level through AI-driven solution
Building a gen AI platform to uplift hospitality management with AI assistants (agents) that augment and assist human teams, automate & personalize workflows, collaborate, and facilitate staff training.
• I have worked as a freelancer on various Cloud, software development, data science, and machine learning projects. My expertise as a Data Scientist encompasses building and testing machine learning models, conducting data analysis, developing prediction systems, and working in areas such as computer vision, speech recognition, and speech generation. I also have experience in constructing data analysis APIs. • I have successfully completed over 95 large-scale projects on Upwork. • I am proud to hold the 'Top Rated Plus' badge, the highest accolade on the platform, with a 100% job success score
• Contributed to the development of PythonSDK. • Orchestrated the development of a web-application with backend and DevOps for creating machine learning training jobs, training data selection, and model saving. • Acted as a Python Developer crafting Extract, Transform, Load (ETL) scripts. • Managed real-time requests with optimized logic for timely execution. • Engineered advanced Flask API to manage AWS marketplace billing. • Pioneered machine learning models for face, voice, and fingerprint verification. • Executed hybrid Siamese Network implementation. • Implemented 1-way Fully Homomorphic Encryption. • Established Cloud Biometric Authentication via API and oAuth2.0.
• Designing algorithms and analysing data for psychometric tests. • Worked on developing a web-application including backend and DevOps part for creating machine learning training jobs, selecting training data, saving models and dashboard for selecting models for inference. • Created Fask APIs for inference endpoints. • Technologies Used: Sagemaker, Fask Framework, SQL, Python, AWS, DevOps, Nodejs, Redis
•Collaborated with a team to analyze AWS consumption datasets, focusing on resource utilization, costs, and metadata. •Conducted comprehensive research to identify suitable machine learning algorithms tailored to the dataset's characteristics. •Developed and fine-tuned ML models to discern patterns in resource tagging. •Successfully implemented an auto-tagging system that categorizes AWS resources based on historical tagging patterns, optimizing resource management and cost-efficiency.