Intelligent Multi-Agent Platform (In Progress)
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Summary
Building an AI multi-agent platform using LangChain and AutoGen, integrating various cognitive services for contextual memory and workflow orchestration.
About
Highly accomplished Data Engineer with 4 years of experience in designing, scaling, and optimizing robust data pipelines, ETL/ELT workflows, and cloud-based data platforms. Proficient in Python, SQL, and Spark, with hands-on expertise across AWS and Azure environments, adept at data modeling, warehousing, and SQL query optimization. Proven ability to translate complex business requirements into high-quality, data-driven solutions and enable analytics teams with reliable, scalable data infrastructure.
Work
St. Francis Xavier University
|Teaching Assistant – Big Data
Antigonish, NS, Canada
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Summary
Assisted in delivering Big Data concepts and practical exercises, supporting student learning and problem-solving in distributed computing.
Highlights
Assisted in teaching concepts of distributed computing, Hadoop, Spark, and big data architectures to enhance student comprehension.
Mentored over 40 students on Python, SQL, and data engineering assignments, fostering skill development and project success.
Designed practical lab sessions and exercises for real-world big data pipelines, providing hands-on experience.
Evaluated assignments and provided detailed feedback, strengthening student problem-solving and analytical skills.
St. Francis Xavier University Students' Union
|Website Coordinator
Antigonish, NS, Canada
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Summary
Led the redesign and maintenance of the student union website, enhancing user experience and operational efficiency through modern web technologies.
Highlights
Rebuilt and maintained the student union website using React.js and Firebase, significantly improving load time and accessibility for the student body.
Integrated secure login, event scheduling, and payment modules, streamlining student services and enhancing operational efficiency.
Developed analytics dashboards to measure engagement, boosting participation in campus activities by providing data-driven insights.
Automated content updates and optimized hosting for scalability, ensuring reliable performance for all users.
Coordinated with cross-functional teams (administration, IT, student reps) to gather requirements and deliver comprehensive web solutions.
Chegg Inc.
|Subject Matter Expert - Computer Science
Remote, Any, US
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Summary
Provided expert-level solutions and explanations for advanced computer science problems, supporting global student learning and exam preparation.
Highlights
Solved over 1000 advanced computer science problems spanning algorithms, data structures, and system design, demonstrating deep technical expertise.
Authored detailed explanations and optimized solutions for a global student audience, enhancing comprehension and learning outcomes.
Supported students in preparing for exams, interviews, and coding assignments, contributing to their academic and career success.
Consistently ranked among top contributors for accuracy and responsiveness, maintaining high quality and timely support.
Infosys Limited
|Specialist Programmer – Client Project: Allied World Insurance, Singapore
Hyderabad, Telangana, India
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Summary
Developed and optimized backend systems and ETL workflows for insurance operations, enhancing performance and deploying solutions across cloud environments.
Highlights
Built robust REST APIs and microservices with Java Spring Boot, supporting critical insurance workflows for claims, underwriting, and policy issuance.
Developed ETL workflows in Python and SQL to automate insurance reporting and compliance checks, ensuring data accuracy and regulatory adherence.
Migrated legacy processes to AWS (S3, Lambda, RDS), improving system performance and significantly reducing downtime.
Implemented CI/CD pipelines using Jenkins and GitHub, cutting deployment time by 40% and enhancing release efficiency.
Conducted peer code reviews and mentored junior engineers on backend and cloud best practices, fostering team growth and code quality.
Infosys Limited
|Systems Engineer – Client Project: MetLife Insurance, USA
Hyderabad, Telangana, India
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Summary
Engineered backend modules and optimized data processes for customer-facing insurance portals, improving system performance and ensuring production stability.
Highlights
Developed backend modules in Java and React.js for customer-facing insurance portals, enhancing user experience and functionality.
Optimized SQL queries and batch jobs, reducing response times for data-heavy processes and improving system efficiency.
Collaborated with Business Analysts to gather requirements and deliver production-ready features, ensuring alignment with business needs.
Automated regression testing pipelines, improving release quality and significantly reducing manual QA effort.
Provided L3 support during critical production incidents, resolving issues within strict SLAs and maintaining system uptime.
Infosys Limited
|Software Engineering Intern – Client Project: Sun Life Insurance, Canada
Hyderabad, Telangana, India
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Summary
Supported software development and quality assurance for insurance product enhancements, contributing to API integration and Agile practices.
Highlights
Designed Python scripts to automate repetitive QA and data validation tasks, improving testing efficiency.
Supported development of Java modules for insurance product enhancements, contributing to feature delivery.
Assisted in API integration testing and bug fixing for web applications, ensuring functional stability.
Learned and applied Agile development practices, actively contributing to daily stand-ups and sprint planning.
Education
Saint Francis Xavier University
Antigonish, NS, Canada
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Masters
Applied Computer Science
Jawaharlal Nehru Technological University
Hyderabad, Telangana, India
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Bachelor of Technology
Computer Science Engineering
Languages
English
Certificates
Microsoft Certified: Azure Fundamentals (AZ-900)
Issued By
Microsoft
Google Data Analytics Professional Certificate
Issued By
Google / Coursera
Python Core and Advanced
Issued By
Udemy
Python Data Structures
Issued By
Udemy
Machine Learning Training
Issued By
Internshala
Skills
APIs
REST, gRPC, API Integration.
Programming Languages
Python, SQL, Java, C, C++, JavaScript.
Big Data Technologies
Apache Spark, PySpark, Databricks, Hadoop, Hive, Pig, HDFS, MapReduce.
Data Streaming
Apache Kafka, AWS Kinesis, Google Pub/Sub.
ETL & Orchestration
Airflow, AWS Glue, Azure Data Factory, Prefect.
Data Warehousing & Modeling
Snowflake, Redshift, Delta Lake, Data Modeling, SQL Query Optimization.
Data Lakes
AWS S3, Azure Data Lake Storage (ADLS).
Databases
PostgreSQL, MySQL, MongoDB.
Data Quality & Testing
dbt, Great Expectations, PyTest.
Cloud Platforms
AWS (S3, EMR, Lambda, RDS, EC2, IAM), Azure (Databricks, SQL DB, ADF).
DevOps & IaC
Docker, Kubernetes, Terraform, Jenkins, GitHub Actions.
Data Visualization
Power BI, Plotly, Matplotlib, Seaborn.
AI & Machine Learning
scikit-learn, TensorFlow, Keras, NLP (LangChain), AutoGen, Feature Engineering.
Collaboration & Monitoring
GitHub, Bitbucket, Jira, Confluence, DataDog, OpenSearch, AppDynamics.
Methodologies
Agile/Scrum, Cross-functional Collaboration, Requirements Gathering, Problem-Solving, Data Transformation, Backend Services, Microservices, CI/CD, Data Quality Assurance, L3 Support.
Projects
Credit Card Churn Prediction and Retention Strategies
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Summary
Applied machine learning models and conducted extensive data analysis to predict customer churn and propose retention strategies.
Solving N-Queens with Constraint Satisfaction
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Summary
Implemented and optimized a backtracking and constraint satisfaction approach to solve the classical N-Queens problem.
Amazon Price Tracker
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Summary
Developed a Python-based web scraper to track Amazon product prices and automate price alerts.
Mobile Controlled Mouse
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Summary
Developed an IoT-based application transforming a smartphone into a wireless mouse, enhancing accessibility.