Harshavardhan Gajula

Software Engineer
Software Engineer experienced in delivering secure, scalable, and high-quality technology solutions. Skilled in designing distributed systems, developing RESTful services, building production-grade Java/Spring applications, and constructing resilient data pipelines across AML/KYC and financial domains. Proficient in Java, Spring Boot, SQL, Python, CI/CD, and cloud services.

Professional Experience

ARCUTURUS TECHNOLOGY SOLUTIONS

Software Engineer
Hyderabad, India | Sept 2022 - Aug 2023
  • Designed, developed, and optimized Java/Spring Boot services, REST APIs, and microservice components supporting automation and AML/KYC flows across enterprise systems, improving processing consistency by ~20% across environments.
  • Produced detailed architecture diagrams, sequence flows, design documents, and API/data specifications, strengthening integration accuracy between ERP, WMS, and compliance platforms and reducing cross-system mapping errors by 15%.
  • Implemented exception handling, validation layers, logging frameworks, and monitoring hooks, which lowered recurring production incidents by 25-30% and measurably improved application fault-tolerance.
  • Engineered SQL-based ETL logic, high-volume data pipelines, reconciliation routines, and schema structures, achieving 99% data accuracy for large transactional datasets and improving downstream reliability across teams.
  • Contributed to CI/CD pipelines, automated build/deployment processes, versioning strategies, and UAT/QA operations, supporting 8+ multi-module releases with consistent defect triage, debugging, and remediation coverage.

COGNIZANT TECHNOLOGY SOLUTIONS

Programmer Analyst
Bengaluru, India | Feb 2022 - Aug 2022
  • Worked on service logic, analytics modules, and system enhancements supporting reporting and financial data workflows, improving module stability and reducing manual reporting effort by ~10%.
  • Created optimized SQL queries, stored procedures, validation routines, and schema improvements, reducing data inconsistencies by 30% and boosting accuracy of operational reporting across major business units.
  • Improved system responsiveness by enhancing API interactions, data processing logic, and transformation flows, contributing to 15-20% faster response times during UAT and performance testing cycles.
  • Collaborated with engineering leads to convert business requirements into technical specifications, scalable data structures, and design elements, ensuring delivery quality by maintaining documentation and acceptance criteria across multiple sprint cycles.

VERZEO (Microsoft Partner)

Machine Learning Intern
Bengaluru, India | Aug 2020 - Apr 2021
  • Built ML models using Python, applying preprocessing, feature engineering, and evaluation techniques for improved accuracy.
  • Integrated model logic into small API workflows and supported automation tasks within assigned application modules.
  • Performed data cleaning, transformation, and exploratory analysis to prepare reliable inputs for model training pipelines.
  • Worked with mentors to debug scripts, validate outputs, and document findings to strengthen the overall ML workflow.

Technical Skills

Programming Languages

Java (Spring Boot, Microservices), Python, SQL, R, HTML

Database & Data Modeling

MySQL, Oracle SQL, Microsoft SQL Server, PL/SQL

Cloud & AI Technologies

AWS, Snowflake, OpenAI APIs, TensorFlow, PyTorch, Copilot, LangChain, Prompt Engineering

Data Integration & BI Tools

Tableau, Power BI, Kafka, Informatica, API Testing, Postman

Development Platforms

Git/GitHub, Jenkins, Docker, Agile, MS Excel

Core Competencies

Data Application Development, Debugging, Troubleshooting, Distributed Systems, API Design, Data Pipelines, Logging/Monitoring, Security, Application Resiliency

Academic Projects

Heart Attack Detection using Machine Learning

Technologies: Python, Logistic Regression, Random Forests
  • Analyzed healthcare data to develop a predictive model for heart attack risk using machine learning techniques.
  • Applied data preprocessing and feature selection to achieve 85% accuracy, offering valuable insights for early detection and informed healthcare decisions.
  • Presented paper at ICSTEM-22 Conference and published in IFERP (May 2022).

Credit Card Fraud Detection using Machine Learning

Technologies: Python, Logistic Regression, Random Forest
  • Built a machine learning model to detect fraudulent credit card transactions by analyzing transaction data.
  • Achieved 95% accuracy and enabled real-time fraud detection to enhance security.
  • Published paper at IACIT-2021 Conference (May 2021).

Husky Restaurant Review Website

Technologies: Database Design, SQL, Web Development
  • Designed a centralized database for restaurant reviews and reservations.
  • Improved data accuracy by 99% and processed 2TB+ of data daily for enhanced user experience and scalability.

Education

Northeastern University (D'Amore-McKim School of Business)

Master of Science in Business Analytics
Boston, MA, USA | Sept 2023 - Dec 2024

Reva University

Bachelor of Technology in Computer Science
Bengaluru, India | Aug 2018 - Jun 2022

Publications & Certifications

Microsoft Power BI Data Analyst Associate

Certified Professional

Generative AI Professional

Oracle Cloud Infrastructure 2024

Databases and SQL for Data Science

Certificate of Completion

Data Analytics with Python

NPTEL (IIT Roorkee) - Authorized by Govt. of India