Kaushik Murali
Software Engineer – AI/ML Focus
Richardson,TX
Summary
Highly motivated and detail-oriented aspiring ML/AI engineer with a strong passion for building intelligent systems that drive business impact and improve user experience. Skilled in transforming complex data into actionable insights using machine learning, NLP, and advanced analytics. Experienced in developing end-to-end AI solutions—from data processing and model training to visualization—leveraging tools like PySpark, Seaborn, and Matplotlib. Adept at working with large datasets, automating workflows, and optimizing model performance through experimentation and tuning. Excels in fast-paced, collaborative environments with a strong focus on innovation and continuous learning.
Overview
3
3
years of professional experience
6
6
years of post-secondary education
5
5
Certifications
3
3
Languages
Work History
Data Analyst Intern
ChainSys Corporation
Richardson, TX
07.2024 - 05.2025
- Designed and deployed a cutting-edge NLP-to-SQL LLM, enabling users to convert natural language into accurate SQL queries, reducing manual query writing by 80%.
- Fine-tuned large language models using domain-specific data; trained on over 1,000+ annotated SQL examples for increased accuracy in intent recognition.
- Built internal tools to benchmark model performance using metrics like BLEU score, execution accuracy, and query latency.
- Created a feedback loop for continuous model improvement by integrating user interactions and query outcomes into retraining datasets.
- Engineered REST APIs to expose LLM functionalities for integration with internal dashboards and tools.
- Implemented version control for training datasets and model checkpoints to ensure traceability and reproducibility.
- Collaborated cross-functionally with database admins and data analysts to ensure alignment between LLM outputs and business-critical data queries.
- Conducted error analysis and model debugging to resolve edge-case failures and improve overall system reliability.
- Explored prompt engineering techniques and model configuration tuning to optimize LLM performance for multilingual inputs and ambiguous queries.
- Developed visual dashboards in SAC (SAP Analytics Cloud) to track LLM usage metrics and system performance in real time.
- Participated in weekly sprint planning and Agile ceremonies, contributing to roadmap planning and feature prioritization.
Machine Learning Intern
Bosch Global Software Technologies
Coimbatore, Tamil Nadu
02.2023 - 05.2023
- Translated MATLAB-based clustering algorithms into scalable PySpark pipelines to classify and detect defective automotive sensors.
- Leveraged distributed computing to optimize anomaly detection performance across large-scale sensor datasets.
- Automated defect classification workflows, reducing manual inspection time by 60% and increasing operational efficiency.
- Tuned machine learning models using hyperparameter optimization, improving model accuracy and reducing training time by 35%.
- Visualized sensor behavior and clustering results using Seaborn and Matplotlib, enabling deeper insight into failure patterns.
- Collaborated cross-functionally with engineers and data scientists to align model outputs with diagnostic use cases.
- Shared ML best practices and reusable code templates, promoting team-wide adoption of scalable analytics techniques.
Machine Learning Intern
Bosch Global Software Technologies
Coimbatore, Tamil Nadu
06.2022 - 07.2022
- Developed a proprietary dataset tailored for analyzing Random Telegraph Noise (RTN) in automotive sensor data, enabling more precise modeling of transient signal anomalies.
- Applied advanced signal and image processing techniques in combination with DBSCAN clustering to detect RTN-induced outliers, achieving over 90% detection accuracy in benchmark test scenarios.
- Engineered a modular RTN detection algorithm, encapsulated in a version-controlled YAML configuration for deployment flexibility and reproducibility across systems.
- Conducted exploratory data analysis to differentiate between benign signal fluctuations and RTN events, using both statistical and visual analysis techniques.
- Collaborated with system engineers and domain experts to validate findings and refine detection thresholds based on sensor-specific behavior.
- Documented the entire pipeline, from dataset construction to RTN classification, ensuring future extensibility and team onboarding.
Education
Master of Science - Business Analytics and Artificial Intelligence
The University of Texas At Dallas
Richardson, United States 08.2023 - 05.2025
Bachelor of Technology - Computer Science with Artificial Intelligence Specialization
Amrita Vishwa Vidyapeetham
Coimbatore, India 07.2019 - 06.2023
Skills
Python programming
Data cleaning
Excel functions
Google analytics
Machine learning
Tableau software
NoSQL databases
Big data analytics
Predictive modeling
Data storytelling
Data wrangling
Natural language processing
R programming
Text analytics
Web scraping
Apache Spark
Deep learning
SQL and databases
Data and analytics
Business analysis
Database management
Data science research methods
Large Language Models
Accomplishments
- Merit Scholarship Award for securing a high rank in Amrita Engineering Entrance Examination (AEEE) 2019, and maintaining academic record by securing excellent grades in Semester exams.
- Merit Scholarship Award from Titan Company Ltd, for securing a high score in class XII and class X.
Certification
Data Science: Probability (https://courses.edx.org/certificates/929a587687bc4df381d34fc069c75f7f)
Timeline
Data Analyst Intern
ChainSys Corporation
07.2024 - 05.2025
Master of Science - Business Analytics and Artificial Intelligence
The University of Texas At Dallas
08.2023 - 05.2025
Machine Learning Intern
Bosch Global Software Technologies
02.2023 - 05.2023
Machine Learning Intern
Bosch Global Software Technologies
06.2022 - 07.2022
NLP with Classification and Vector Spaces(https://coursera.org/share/23da8fa5f43b341491887f754fbbe5ce)
02-2022
Data Science: Probability (https://courses.edx.org/certificates/929a587687bc4df381d34fc069c75f7f)
05-2020
SQL for Data Science (https://courses.edx.org/certificates/1cbd4f1b4dc44a1ba6bccb06d9211f70)
04-2020
Computer Graphics (https://courses.edx.org/certificates/63c659186d72434fa0197a4bc969a989)
04-2020
Principles of Machine Learning: Python Edition (https://courses.edx.org/certificates/0bbe66e106fc425abeba63da2c892fbf)
03-2020
Bachelor of Technology - Computer Science with Artificial Intelligence Specialization
Amrita Vishwa Vidyapeetham
07.2019 - 06.2023
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