● Made telegram bots to fetch the real time data events happening in the area. ● Designed and implemented machine learning solutions, conducting research and deploying robust algorithms. ● Curated and ensured the quality of datasets, conducting end-to-end testing of machine learning models. ● Deployed software using Docker and Kubernetes across various platforms, including private servers, GCP, and AWS. ● Automated data acquisition from job portals, developed data pipelines, and created a dashboard for comprehensive analysis. ● Initiated and managed marketing campaigns to nurture leads, demonstrating a proactive approach to project goals. ● Led a team of junior data scientists, ensuring effective collaboration and resource management. ● Collaborated with Project Managers to set milestones and track project progress. ● Developed and optimized code for social media feed to production environments.

● Develop front end website architecture. ● Design user interactions on web pages. ● Develop back end website applications. ● Create servers and databases for functionality. ● Ensure cross-platform optimization for mobile phones. ● Ensure responsiveness of applications. ● Work alongside graphic designers for web design features. ● See through a project from conception to finished product. ● Design and develop APIs. ● Stay abreast of developments in web applications and programming languages. ● Define the vision for the product and engage with stakeholders to ensure the backlog is aligned 13 with business needs. ● Develop a deep understanding of the customer and market space for strategic decision-making. ● Prioritize features, enhancements, and bug fixes in the product backlog. ● Organize and facilitate project planning, reviews, demos, retrospectives, and daily stand-up meetings with the Scrum Team. ● Collaborate with the development team to ensure that they understand the vision for the product and are designing great features for our partners. ● Continuously learn about new methodologies and best practices for product ownership and Agile leadership. ● Actively mitigate impediments impacting successful team completion of Release/Sprint Goals.

As Associate Project Manager: ● Lead and manage the day-to-day activities of the technical project team, aligning the team's resources to most effectively achieve project objectives. ● Develop and manage all aspects of project engagement from planning, external vendor relationships, communications, resources, budget, change, risks, and issues. ● Set and continually manage project expectations while delegating and managing deliverables with team members and stakeholders. ● Deliver engaging, informative, well-organized presentations. ● Understand the components of running a fiscally successful project. ● Designing user interactions on web pages, developing server-side logic, ensuring high performance of applications, and designing and implementing data storage solutions. As Full Stack Engineer: ● Develop front end website architecture. ● Design user interactions on web pages. ● Develop back end website applications. ● Create servers and databases for functionality. ● Ensure cross-platform optimization for mobile phones. ● Ensure responsiveness of applications. ● Work alongside graphic designers for web design features. ● See through a project from conception to finished product. ● Design and develop APIs. ● Stay abreast of developments in web applications and programming languages.

● Facilitated international client calls, outlining technical plans and issue identification. ● Designed architectures for Machine Learning and Deep Learning systems. ● Conducted research on forefront technologies to fortify AI systems' robustness. ● Orchestrated AI-team operations, ensuring proficient and punctual project deliveries. ● Directed stakeholder meetings, effectively communicating project execution concepts. ● Architecture Designing. ● Deployment Planning and Execution. ● 3d-Segmentation. ● ChatGPT. ● Development of AI-powered Applications. ● Dev-ops / ml-ops (GCP, Docker, Kubeflow). ● Real-Time Event Ticket Synroniser (handled 300k - 1000k) of ticket listings in 20 sec (Big Data). ● AI-Powered Skin Care Application (Python, Tensorflow, Keras, Computer Vision). ● Sales and Marketing Automation System (Scraping, Core Python). ● Lead Generation Application for tech industries through scraping (Scraping, Selenium, Docker, Kube8).

● Machine learning practices (Data pipelines, API workflows, CI/CD deployments, DataOps, MLOps, Computer Vision, Data engineering, Documentation, Git, Docker, Kubernetes, Customise Deep learning Models). ● Python data science tech stack (e.g. pandas, NumPy, sci-kit-learn, PySpark, PyMC3, Dash, Plotly). ● Handling deployments of deep learning models via docker, Kubernetes, mongo. ● Extract Ocr from documents, Identify fields on Cards, Check the validity of a card. ● Identify if a video has a live face or fake face (picture of another person, mobile screen). ● Research on OCR. ● Deployment of the system which extracts text from the documents. ● Training, evaluation and testing of tesseract models. ● Pre-post processing to get the exact text from the documents. ● Research on the paddle-ocr and tesseract.