Kaushik Ilango Email & Phone Number

New York, NY, US

United States

• Developed a customer support Chabot using GPT-3.5-turbo and Langchain, deployed on AWS Lambda, and achieved a response time drop from 5 minutes to 1 minute by using Python libraries like transformers, enhancing support.
• Implemented NLP techniques and custom-trained LSTM neural networks with TensorFlow and Keras to enhance Chabot functionality, and integrated Python’s nltk and spacy libraries for improved contextual understanding and.
• Integrated real-time data processing and analysis into the Chabot system using AWS Lambda for serverless execution, resulting 50% gain in system scalability and reliability, and seamless real-time operations to enhance.
• Developed and deployed a comprehensive user interface for the Chabot using Streamlit, created a graphical user interface (GUI) that increased user engagement by 40%, and improved user satisfaction and the chatbot’s.
• Optimized the Chabot’s performance through continuous ad hoc analysis and model tuning, conducted evaluations and adjustments that enhanced response accuracy by 25%, and improved operational efficiency to ensure the.
• Collaborated teams to integrate the Chabot into existing customer service platforms successfully achieved a 20% reduction in integration time, while ensuring seamless deployment and operation within established service.

Bengaluru, Karnataka, India

• Boosted data retrieval efficiency by 20% via the optimization of wide SQL queries and stored procedures using AWS Redshift to streamline data warehousing, resulting in faster and more efficient data analysis and.
• Enhanced data accuracy by addressing and resolving inconsistencies, executed data validation methods like Normalization to eliminate redundancy and Dimensional Modeling to use data retrieval, for reliable and precise.
• Reduced manual testing efforts by 30% by developing automated testing frameworks for SQL scripts using AWS Glue for seamless ETL operations, ensuring consistent data quality and drop manual errors, to improve data.
• Designed sophisticated data models, including Star Schema and Snowflake Schema, to help new feature development, this optimized data organization and query performance, improve analytical abilities and operational.
• Maintained high data integrity via wide validation processes and quality control measures for accurate and consistent data for analytics, feeding reliable and informed decision-making and strengthening the overall data.
• Improved data processing workflows by integrating automated transformation and loading processes, using AWS Lambda for serverless compute, to optimized data handling, eased operational overhead, and accelerated data.

Master Of Science - Ms, Computer Science, 4.0

Activities and Societies: Department of Computer Science, Graduate Certificate in Machine LearningRelevant Coursework - Artificial.

Bachelor Of Technology, Computer Science And Engineering

Relevant Coursework - Operating Systems | Data Structures and Algorithms | System Programming | Advanced Algorithms | Data Mining | Design.