Abhishikth Vadlamani
Marietta,Georgia
Summary
Pursuing a Master's in Computer Science, strengthening my skills in core areas like Python, SQL, and Machine Learning. I'm exploring Generative AI, including Large Language Models (LLMs), to stay updated in the evolving AI landscape. My knowledge of AWS complements my learning, potentially allowing me to contribute to projects combining technology and AI.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Generative AI Researcher
Kennesaw State University
Marietta, Georgia
08.2022 - 12.2023
- Enhanced conversational LLM by training a generative AI model with persistent personas, leading to a 20% increase in engagement.
- Curated datasets with a focus on minimizing bias, resulting in a 10% improvement in data quality.
- Developed algorithms for persona-based chatbot interactions, improving conversational fluency by 15%.
- Optimized inference for generative LLM using MLOps, reducing latency by 25% and improving accuracy by 12%.
- Conducted A/B testing with human-in-the-loop to improve chatbot user experience, resulting in a 30% reduction in user issues and a 20% increase in satisfaction.
- Assisted faculty with publication preparation tasks such as editing, fact-checking, and line-editing papers.
Senior Analyst
Capgemini, GE CAS Aviation
USA
08.2020 - 07.2022
- Migrated two Visual Basic Applications into C# using MVC Core, reducing the legacy codebase by 40% and improving code maintainability.
- Designed and implemented stored procedures for Microsoft SQL Server, resulting in a 25% decrease in query execution time and a 15% improvement in data retrieval speed.
- Collaborated with Technical Design Lead to transform low-level design into code, reducing development time by 30% and increasing project efficiency by 20%.
- Suggested improvements to data collection processes, reducing data errors by 10% and increasing accuracy by 15%.
Education
Master of Science - Computer Science
Kennesaw State University
Georgiana, AL05-2024
Skills
- Languages & Frameworks: C#, Python, Java, Flask
- AWS Cloud Services: EC2, S3, Lambda
- Large Language Models: GPT- 35 GPT-4
- Web Technology: HTML, CSS
- ML & NLP Frameworks: Tensorflow, Scikit Learn, NLTK, PySpark, Pandas, Numpy
- Database: Microsoft SQL Server, MongoDB
- Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
Affiliations
- Vice President, Rotaract Club
- Vice President, Marietta Multicultural Club
- Vice President, Association of IT Professionals
- Tresurer, International Students Association
Certification
- Azure fundamentals AZ-900
- AWS Associate Developer.
Projects
Predictive Analysis of Air Quality Using Machine Learning, 09/2023, 12/2023
- Conducted Air Quality Analysis using Random Forest Regression to study urban air quality.
- Processed and standardized air quality data to create an actionable Air Quality Index (AQI), improving data reliability by 15%.
- Identified carbon monoxide's impact on air quality, suggesting 30% more stringent urban pollution controls.
- Used KMeans Clustering to segment urban air quality, improving pollution categorization efficiency by 25%.
- Classified AQI into health-relevant groups, finding over 60% in 'unhealthy for sensitive groups' and 'moderate' categories.
- Contributed to data-driven environmental policy discussions by bridging machine learning and environmental analysis.
Optimizing search in location data, 09/2023, 12/2023
- Developed Custom K-Means Clustering: Created a custom K-Means clustering algorithm with a 15% improvement in accuracy, showcasing proficiency in unsupervised machine learning.
- Enhanced Data Preprocessing: Applied Z-score normalization to the Iris dataset for a 20% increase in data consistency, optimizing clustering performance.
- Expert Data Analysis: Analyzed and managed the Iris dataset with over 150 samples across 3 species, demonstrating adaptability and insight with complex data.
- Python Proficiency: Utilized Python, NumPy, and Matplotlib for data analysis, resulting in 30% less complex code and 25% faster processing.
- Custom Algorithm Optimization: Developed and refined custom clustering algorithms for a 10% efficiency boost and 12% faster computation.
Timeline
Generative AI Researcher
Kennesaw State University
08.2022 - 12.2023
Senior Analyst
Capgemini, GE CAS Aviation
08.2020 - 07.2022
Master of Science - Computer Science
Kennesaw State University