# Khushi Chandra > Software Engineer @ eGain Location: San Francisco Bay Area, United States Profile: https://flows.cv/khushichandra I’m a Software Engineer passionate about building intelligent and scalable systems that bridge the gap between AI innovation and real-world impact. At eGain, I design and optimize ML-powered semantic search pipelines using Python, FastAPI, AWS (ECS, Lambda, API Gateway, S3, CDK), and Docker. My work includes developing evaluation frameworks, dataset validation UIs, and API orchestration platforms that accelerate experimentation with LLMs and retrieval-based AI systems. Previously, I’ve: • Fine-tuned BERT and LLaMA for entity extraction and data retrieval • Built full-stack tools with FastAPI, Postman, and MongoDB • Automated deployments and CI/CD pipelines, cutting release time by 80% I’m driven by solving complex backend challenges and making AI systems production-ready, with a focus on performance, scalability, and clean engineering design. Tech: Python, FastAPI, AWS, Docker, Postman, SQL, MongoDB, REST APIs, CI/CD Interests: Generative AI, LLMs, NLP, Semantic Search, Scalable Backend Systems ## Work Experience ### Software Engineer @ eGain Corporation Jan 2025 – Present | Sunnyvale, CA • Owned and enhanced Node.js ingestion pipelines, refactoring legacy code and improving reliability with pre- and post-validation hooks • Built automated integration and unit test suites, reducing production errors and accelerating deployment cycles 10× • Developed Search Evaluation Tool (parallel orchestrator + JSON framework), accelerating multi-API configuration testing from days to hours across 500+ configurations and 1,000+ queries • Engineered AWS evaluation platform (ECS Fargate, API Gateway, CDK) with real-time monitoring of 5+ APIs, enabling leadership to benchmark search and generative AI models • Built full-stack solutions (dataset validation UI, job monitoring, S3 integration, OpenAPI spec, MCP server) enabling AI agent integration like Cursor • Containerized FastAPI services with Docker and CI/ CD pipelines, reducing release cycles from hours to minutes • Presented projects to executive leadership at two company-wide offsites, showing ownership and cross-team impact ### Technical Director @ Society of Women Engineers-SJSU Jan 2024 – Jan 2025 | San Jose, California, United States • Lead a team of 4 committee chairs, overseeing all technical initiatives, website development, and IT strategy. • Directed a full-scale website revamp, improving navigation and increasing member engagement by 30%. • Developed membership, officers, and about pages, enhancing site structure and accessibility. • Integrated an events calendar & dynamic content system, improving workflow efficiency. • Implemented SEO best practices, increasing website traffic and discoverability among SJSU students. ### SWE++ Chair @ Society of Women Engineers-SJSU Jan 2023 – Jan 2024 | San Jose, California, United States - Designed a 10-week Python curriculum for approximately 50 middle & high school girls - Incorporated lectures, coding workshops, software development projects to foster diversity and inclusion - Oversaw student projects and coordinated speaker panels - Organized a large-scale end-of-program showcase to highlight achievements - Received Outstanding Service Program Award, awarded by SJSU ### Resident Advisor @ San Jose State University Jan 2024 – Jan 2025 | San Jose, California, United States - Fostered a safe and supportive living environment for residents, enhancing their academic and social experiences on campus. - Engaged in extensive training on community building, conflict management, and mediation to effectively support and guide residents. - Promoted personal growth and community engagement among students through proactive one-on-one interactions and group activities. - Served as a primary resource for students in need, offering guidance, support, and referrals to appropriate university services. - Implemented programs and initiatives that contributed to a thriving community atmosphere within the residence halls. ### IT Student Assistant @ San Jose State University Jan 2022 – Jan 2025 | San Jose, California, United States • Resolved 250+ IT support tickets weekly, troubleshooting AV and IT issues in classrooms. • Managed an inventory of 2,000+ electronic devices, streamlining tracking and reporting. • Reduced classroom tech downtime, improving efficiency across 100+ classrooms. • Automated inventory tracking, reducing manual reporting errors by 20%. ### Math Grader @ San Jose State University Jan 2023 – Jan 2024 | San Jose, California, United States - Worked as a grader for Discrete Mathematics (MATH 42) course at SJSU - Provided detailed feedback to students regarding their work, including explanations of correct solutions and suggestions for improvement ### Teaching Assistant @ San Jose State University Jan 2022 – Jan 2024 | San Jose, California, United States - Supported the instructor in delivering high-quality education to approximately 170 students for Introduction to Programming (CS 46A) - Graded homework, quizzes, and exams in a timely and accurate manner - Offerred thorough JAVA code reviews to aid students in improving their submissions. ### Break Through Tech AI/ML Fellow @ Cornell Tech Jan 2024 – Jan 2025 -Selected from 3000+ applicants for Break Through Tech AI, a year-long fellowship program designed to support women and other underrepresented people in AI, ML, and Data Science. - Built machine learning skills through summer course, mentorship, and fellowship, eager to apply them in upcoming Kaggle competition. ### Student Ambassador @ Adobe Jan 2024 – Jan 2025 • Designed and executed marketing strategies, engaging 250+ students, 20 clubs, and 5 professors. • Led 4+ hands-on workshops, improving Adobe proficiency and increasing Creative Cloud adoption. • Expanded Adobe brand awareness through targeted social media campaigns. • Grew event participation by 40% through strategic promotions and creative workshop formats. ### AI Studio Fellow @ ASAPP Jan 2024 – Jan 2024 • Developed an LLM solution for structured data extraction from 10,000+ conversations, improving automation by 30%. • Fine-tuned BERT for entity extraction, increasing retrieval accuracy for customer details by 15% (88% precision). • Optimized data preprocessing pipelines, reducing bias and improving model accuracy by 20%. • Designed FastAPI endpoints, achieving real-time AI-driven data extraction with response times under 0.51s. • Benchmarked BERT , LLaMA, and Gemini, leading to a 12% precision boost in model selection. • Developed an automated evaluation pipeline, streamlining performance analysis across multiple models. • Collaborated in an agile team, using GitHub, JIRA, and Kanban to accelerate deployment by 25%. ## Education ### Bachelor of Science - BS in Computer Science San José State University ### Machine Learning Foundations Certificate in Break Through Tech AI Cornell University ## Contact & Social - LinkedIn: https://linkedin.com/in/khushi-chandra - Portfolio: https://ikhushi.com/ --- Source: https://flows.cv/khushichandra JSON Resume: https://flows.cv/khushichandra/resume.json Last updated: 2026-04-11