Rahul Srivastava

Senior Software Engineer | AI/ML Specialist

Bengaluru, IN.

About

Rahul Srivastava is a Senior Software Engineer with a proven track record in developing and modernizing high-impact enterprise applications and AI/ML solutions. He has significantly enhanced system performance, reducing CPU utilization by 40%, and improved application security by 55%. Rahul leverages expertise in full-stack development, AI/ML engineering, and data analytics to deliver strategic platforms and features that drive user engagement and business value for leading technology firms.

Work

Coforge (Contracting for Sabre Corporation)

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Senior Engineer

Bengaluru, Karnataka, India

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Summary

As Senior Engineer, led technical modernization of critical enterprise applications for Sabre Corporation, significantly enhancing system compatibility, security, and performance.

Highlights

Directed technical modernization efforts for Travel Bank, Agency Manager, MTS, and CSTP applications, focusing on architecture upgrades and Struts to Spring MVC migration to boost compatibility, security, and performance.

Resolved over 500 vulnerabilities in the Agency Manager application, elevating the Veracode Quality Score by 55% and mitigating critical security issues including CRLF injection and XSS.

Sabre Corporation

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Software Engineer I

Bengaluru, Karnataka, India

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Summary

As Software Engineer I, developed and enhanced key features for a global travel technology platform, improving user engagement and system efficiency for Sabre Corporation.

Highlights

Developed and enhanced critical features for the Travel Bank digital wallet, significantly improving user engagement and supporting credits valued at millions across 10+ airlines.

Designed and implemented a robust credit expiry management feature, successfully deploying it for use by over 5 airlines.

Optimized system performance by analyzing and refactoring high CPU usage patterns, reducing CPU utilization by 40% through a timeout mechanism.

Engineered Featuristics, an AI-powered platform for real-time feature tracking and analytics, enabling airlines and developers to monitor adoption and usage.

Sabre Corporation

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Associate Intern

Bengaluru, Karnataka, India

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Summary

As Associate Intern, built data analytics dashboards and developed an AI-based API suite, enhancing traveler experiences and driving revenue growth for Sabre Corporation.

Highlights

Constructed over 5 interactive dashboards using Looker Studio and BigQuery, providing critical insights into liabilities, balances, and credit trends for 10+ airline clients.

Designed and developed TripKit, an AI-based API suite that generated personalized attraction recommendations from booking data, resulting in a 1.4x estimated revenue increase.

Education

Vellore Institute of Technology, Vellore

Vellore, Tamil Nadu, India
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Bachelor of Technology Computer Science and Engineering Grade: CGPA: 9.6

Courses

Problem Solving

OOPs Concepts

Data Structures and Algorithms (DSA)

Database Management Systems (DBMS)

Software Engineering

Artificial Intelligence

System Design

Awards

Winner of The Big Pitch 2023

Sabre Corporation

Secured first position in a global company-wide ideathon at Sabre Corporation.

Winner of Intern Hack 2023

Sabre Corporation

Secured first position in the site-level Intern Bootcamp Hackathon at Sabre Corporation.

Certificates

SSC NASSCOM Gold Certification

SSC NASSCOM

Skills

Programming Languages

Java, C++, Python, HTML, CSS, JavaScript, SQL.

AI/ML Technologies

Large Language Models (LLMs), Multimodal AI (Gemini, MiniGPT), OpenAI APIs, Sentence Transformers, YOLOv8, OpenCV, DeepSeek R1, FAISS.

Web Technologies & Frameworks

React, Node.js, Flask, Spring, FastAPI, Streamlit.

Cloud & Data Tools

Google Cloud Platform, Looker Studio, BigQuery.

Developer Tools & Methodologies

Git, CI/CD, Jenkins, Jira, Postman, SoapUI, Problem Solving, OOPs Concepts, DSA, DBMS, Software Engineering, Artificial Intelligence, System Design.

Projects

Hybrid Log Classification System

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Summary

Developed a robust log classification pipeline leveraging regex, BERT embeddings, and Deepseek R1 LLM to accurately classify logs with varying levels of complexity.

Suspicious Activity Detection in Retail

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Summary

Created a real-time surveillance system utilizing computer vision and multimodal AI to detect and interpret suspicious behavior.

Multimodal AI-Powered Art Interpretation with RAG

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Summary

Built a multimodal Generative AI application that explains artworks using image understanding and Retrieval-Augmented Generation (RAG).

Rahul Srivastava