Prakhar Paliwar

• Designed, developed, and maintained scalable full-stack web applications using Python for backend and ReactJS/Angular for frontend. • Built and integrated RESTful APIs with third-party services to enable seamless data exchange and real-time features. • Gained hands-on exposure to Generative AI tools like LangChain, AWS Bedrock, Amazon SageMaker, Copilot, and RAGs

- Delivered engaging lectures and simplified complex operating system concepts for students. - Led hands-on lab sessions and provided personalized support to enhance student understanding. - Assisted with grading and feedback, and collaborated with faculty to improve course materials and instructional strategies.

• Extracted, cleaned, and manipulated data from 15+ sources using Python, MATLAB, NumPy, and Pandas, improving data accuracy by 25% for strategic decision-making. Visualized data with Matplotlib and Plotly. • Performed exploratory data analysis for Cognizant’s client, Gala Groceries, using Python and Google Colab, identifying key insights from over 10k data points. • Use statistical methods and data visualization tools to gain insights into data, identifying patterns, and creating charts, graphs, and dashboards to effectively present findings. • Developed a Python module to train machine learning models, achieving a model accuracy of 95% and automating performance metric reporting for the engineering team. • Automated and optimized business logic for the core marketing experiments, including A/B, Auto-Targeting, and Multivariate Testing. • Led a data project that improved query performance by 40% through the design and implementation of optimized data models and data warehouses. Managed over 10TB of data using SQL and NoSQL databases, and streamlined data processing pipelines using Hadoop, Spark, Dataflow, and Airflow, resulting in a 50% reduction in data processing time. • Completely automated the marketing platforms' user-experience testing process by integrating Nightwatch Selenium.

• Engineered scalable, distributed systems with load balancing, utilizing Redis and Memcached for caching, which stabilized system responsiveness and reduced latency by 30%. • Developed and refined data pipelines using Apache Kafka and Spark, effectively managing terabytes of data and increasing throughput to terabytes per hour. • Implemented Continuous Delivery pipelines, improving development workflows and deployment processes by 20% through CI/CD practices with Jenkins and GitLab. • Resolved critical defects in WTS Location and TwainModel Solution by enhancing the Java Spring Boot backend, reducing data discrepancies by 90%. • Engineered an ETL pipeline for Splunk-based error logs with Apache Airflow and Jenkins, automating monitoring and reducing manual oversight by 80%.

Monitoring Development • Successfully implemented automation of cycling the servers based on error condition through javascript language. Moreover, used cache to get the desired value from datastore through derived rule targeting specific attributes. Refresh and Replicate Automation • Automated checks were triggered to monitor the domain logged in successfully or not. If not password is refreshed and different snapshot of master domains are replicated through PHP server performing load balancing with initiation of automation service through shell script along with Laravel Framework.

• Developed an architectural pipeline with RESTful APIs, employing machine learning models like decision trees and neural networks, improving product recommendation accuracy and data retrieval times. • Created backend services using Java and SpringBoot, enhanced by Maven for efficient dependency management, and integrated DynamoDB for high-performance data storage. • Optimized machine learning algorithms using TensorFlow and PyTorch, significantly improving system accuracy and user satisfaction by 18%.

Courses: Advanced Analysis of Algorithms, Advanced Topics in Programming Language, Advanced Software Engineering, Pattern Recognition, Machine Vision, Object Oriented Analysis and Design, Applied Machine Learning, Topics in Distributed Computing, Blockchain Technology