Jul 2019 – Mar 2020 · 8 mos · Broomfield, Colorado, United States

• Proofpoint is a leading enterprise security company specializing in cloud-based solutions for email protection, data loss prevention, threat intelligence, and digital risk management. As a Software Engineer, I contributed to building and enhancing world-class fraud detection systems and secure messaging services designed for scalability, reliability, and performance across global enterprise environments.
• Key Responsibilities & Impact:
• 1. Designed, developed, and maintained fraud detection and anti-abuse systems for email and messaging platforms, safeguarding enterprise clients from phishing, spam, and malicious activity.
• 2. Collaborated cross-functionally with Security, Data Science, and Infrastructure teams to deliver high-performance, scalable cloud applications supporting millions of transactions daily.
• 3. Implemented secure APIs, microservices, and distributed system components using modern programming frameworks and cloud technologies.
• 4. Optimized system performance and data processing pipelines for real-time detection, alerting, and mitigation of security threats.
• 5. Participated in code reviews, design discussions, and performance tuning, ensuring adherence to best practices in security, scalability, and maintainability.
• 6. Contributed to continuous integration and deployment pipelines, improving development efficiency and product release cycles.
• Through this role, I strengthened my expertise in cloud infrastructure, distributed systems, cybersecurity, and large-scale application design, while helping enterprises stay secure in a rapidly evolving digital landscape.

Aug 2018 – Jan 2019 · 5 mos · Boulder, Colorado

• As a Teaching Assistant for Software Development Methods and Tools (CSCI 3308), I supported both instruction and applied learning in full-stack software engineering, emphasizing Agile methodologies, test-driven development (TDD), and collaborative project work.
• Key Responsibilities & Impact:
• 1. Assisted in teaching software engineering principles, Agile workflows, and modern development tools to undergraduate students.
• 2. Led office hours, lab sessions, and exam evaluations, providing hands-on guidance in debugging, version control, and system design.
• 3. Graded assignments, code reviews, and technical interviews to assess comprehension and practical proficiency.
• 4. Supported team-based projects focused on full-stack application development, deployment, and CI/CD integration.
• 5. Mentored students in applying Agile principles, TDD, and DevOps practices across real-world scenarios.
• 6. Leveraged technologies including Bash, HTML/CSS, JavaScript, Git, PostgreSQL, Node.js, AWS, and Heroku for instructional and project environments.
• Courses Taught:
• Class 1: Thursday (8:00 AM – 9:40 AM)
• Class 2: Friday (8:00 AM – 9:40 AM)
• Class 3: Friday (12:00 PM – 1:40 PM)
• This role deepened my ability to translate complex technical concepts into practical learning experiences, reinforcing both my leadership and software engineering expertise.

May 2018 – Aug 2018 · 3 mos · San Mateo, California

• As a Data Scientist Intern at Rakuten, I worked on developing and optimizing machine learning models to enhance user insights, automate data workflows, and improve product intelligence across B2B and B2C platforms.
• Key Projects & Contributions:
• 1. User Segmentation: Built ML models for classifying B2B and B2C users using Python, Keras, Scikit-learn, and NetworkX, improving customer targeting and retention strategies.
• 2. Active Learning: Designed an active learning pipeline using TensorFlow and Scikit-learn to efficiently generate large, high-quality datasets from limited labeled samples.
• 3. Review Summarization: Developed a review summarization system leveraging Encoder-Decoder architecture to extract key insights from user reviews using TensorFlow and NLP techniques.
• This internship strengthened my expertise in machine learning, natural language processing, and large-scale data analysis, while contributing to Rakuten’s mission of delivering smarter, data-driven experiences to its users.

Mar 2017 – Aug 2017 · 5 mos · Bengaluru, Karnataka, India

• As a Senior Software Engineer in the Prime Brokerage Funding & Finance Technology Division, I contributed to the design and development of large-scale financial platforms supporting investors, advisors, and fund services. My work focused on building robust, high-performance systems that streamline investment operations and enhance data-driven insights.
• Key Responsibilities & Impact:
• 1. Led development for Prime Brokerage & Fund Services platforms using Java, Sybase, Redis, Kafka, DB2, and Leela, supporting end-to-end investment workflows.
• 2. Built and maintained a data portal for targeted investors, advisors, and funds—enabling efficient access to portfolio analytics, investment behaviors, and visualizations.
• 3. Automated generation of weekly and monthly NAV (Net Asset Value) reports, improving reporting accuracy and operational efficiency.
• 4. Collaborated with finance, risk, and product teams to deliver scalable, secure, and compliant solutions aligned with business and regulatory requirements.
• 5. Optimized distributed data processing pipelines and caching mechanisms for high-volume financial transactions and real-time insights.
• This role strengthened my expertise in enterprise-scale software engineering, financial systems architecture, and real-time data processing, while contributing to Morgan Stanley’s mission of delivering secure and intelligent financial technology solutions.

Jul 2015 – Mar 2017 · 1 yr 8 mos · Bengaluru Area, India

• As a Software Engineer at Snapdeal, I designed and developed large-scale, high-performance backend systems powering customer experience, data analytics, and AI-driven recommendation services across one of India’s largest e-commerce platforms.
• Key Projects & Contributions:
• 1. Reviews & Ratings System: Built and optimized a scalable service using Java, Cassandra, Aerospike, Kafka, Zookeeper, Elasticsearch, and Jenkins to store and analyze reviews for 30M+ products across 800+ categories and 125K+ brands from 6,000+ cities.
• 2. Email, SMS & Notification System: Engineered a generic communication platform using Java, Kafka, RabbitMQ, and Cassandra to process and send 2M+ personalized messages daily to customers and sellers based on transactional data.
• 3. Selfie Platform: Developed a cross-platform feature integrating image processing and search using Java, Android, Cassandra, Kafka, Aerospike, and Elasticsearch, connecting customers with products through user-generated content.
• 4. Product Return Rating: Designed backend systems to analyze customer return feedback and experiences, improving return policies and product quality metrics.
• 5. FAQ & Recommendation Engine: Created a core recommendation service leveraging Cassandra, Aerospike, and Elasticsearch, used across the product discovery journey (PDP and search pages).
• 6. Product Quality Index: Implemented an ML-driven Product Quality Index using Spark, TensorFlow, Redis, and Kafka, applying Random Forest and SVM models to assess product quality thresholds for predictive analytics.
• This experience strengthened my expertise in distributed systems, large-scale data processing, and applied machine learning, while delivering scalable, data-driven innovations for a major e-commerce ecosystem.

Dec 2014 – Jul 2015 · 7 mos · Chennai

• Trimble develops advanced positioning and data technologies, including GPS receivers, laser range finders, UAVs, and navigation software. As a Software Engineer Intern, I contributed to building digital data systems and productivity tools to enhance equipment monitoring and team collaboration.
• Key Projects & Contributions:
• 1. Digital Data & Navigation System: Developed a system using C#, ASP.NET, and MySQL to convert raw binary data from sensors (hydraulic oil pressure, tire pressure, friction metrics) into a digital dashboard for real-time equipment tracking and performance analysis.
• 2. Built an activity and inactivity tracker for heavy machinery, improving operational visibility and maintenance planning.
• 3. Scrum Meeting Desktop Application: Designed and implemented a .NET-based productivity app integrating directly with JIRA APIs, enabling real-time task updates, notifications, chat features, and birthday reminders to improve cross-team collaboration.
• This internship strengthened my experience in software development, data processing, and system design, while contributing to Trimble’s mission of connecting the physical and digital worlds through intelligent technology.