Shekhar Pandey

Roles and responsibilities:

• Image Processing: Develop and optimize algorithms and processes for image enhancement and manipulation.
• Computer Vision: Lead the development of computer vision applications and technologies for various use cases.
• Develop systems and algorithms for analyzing and deriving insights from video data.
• Video Analytics: Implement video analytics solutions that leverage the capabilities of Nvidia Jetson and Xilinx Zynq Ultrascale+ evaluation boards.
• CI/CD Pipelines: Manage and optimize continuous integration and continuous deployment pipelines to ensure efficient software development and delivery.
• Gen-AI & RAG Pipeline: Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI-driven applications with contextual and domain-specific knowledge.
• LLM (Large Language Models): Develop and integrate large language models for various applications, leveraging fine-tuning, prompt engineering, and efficient inference techniques.

Roles and responsibilities:

• Building API (Tornado Python and Flask):
  Design and develop APIs using Tornado Python and Flask to enable seamless integration of models applications with backend services.
  Ensure API endpoints are efficient, secure, and well-documented.
  Collaborate with software engineers to integrate data science models into AR/VR applications.
• Big Data: Handling big data using Apache Kafka involves ingesting massive data streams into Kafka topics and then processing and distributing this data in real-time to consumers, enabling scalable, fault-tolerant, and efficient data management and analytics.

Responsibilities:

• Develop and implement machine learning systems, including researching, designing, and optimizing ML algorithms and tools.
• Conduct research on deep learning techniques, experiment with various architectures, and optimize deep learning models.
• Apply image processing techniques to enhance data and improve model performance.
• Produce immersive VR/AR experiences for mobile devices and the web, working with pre-created images and 3D models to create photorealistic simulations.
• Collaborate closely with the Design/Art Team and Tech Lead on a daily basis to ensure seamless integration of ML and AI technologies.
• Optimize applications for cross-platform compatibility to deliver high-quality experiences across various devices and platforms.

Responsibilities:

• Conduct advanced research in Natural Language Processing (NLP) to develop models for data classification, encompassing both text and image classification domains.
• Apply NLP techniques to process and analyze textual data, combining it with image data for comprehensive classification solutions.
• Implement object detection algorithms to identify and localize objects within images for various applications.
• Perform data engineering tasks using Apache Kafka, Apache Spark, and Elasticsearch to manage and process large-scale datasets efficiently.
• Optimize and adapt the existing Python codebase to C++ for performance and portability, ensuring seamless integration with other systems and environments.

Responsibilities:

• Developed Python scripts for daily maintenance tasks, focusing on database indexes and table analysis to ensure data integrity and performance.
• Conducted research and contributed to the design and implementation of scalable applications, specializing in information identification, extraction, analysis, retrieval, and indexing.
• Engaged in information extraction from both images and text to contribute to the development of machine learning models, enhancing data processing capabilities.