KANIKA KHOSLA
Kanikakhosla 413-***-**** *******@*****.*** github Woman Engineer who Builds EDUCATION
University of Massachusetts Amherst Amherst, MA
Bachelors in Computer Science with Departmental Honors (Business Minor) Graduation Date: May 2026
● Programs: Chancellor’s Award, Deloitte Tech Consulting, AI4ALL Ignite, Rewriting The Code, Goldman Sachs Summit
● Relevant Coursework: Data Structures, Algorithms, Linear Algebra, System Programming, Software Engineering, Web Dev SKILLS
● Languages: Python, JavaScript, TypeScript, SQL, HTML/CSS, Java, Go (learning), Bash
● Frameworks & Tools: React.js, Next.js, Node.js, Express, Firebase, Docker, n8n, Git, REST APIs, Postman
● Cloud & DevOps: AWS (EC2, Lambda, CloudWatch, IAM, Auto Scaling), Google Cloud, Vercel, CI/CD Pipelines
● Databases: PostgreSQL, Firebase Realtime DB, NoSQL, MongoDB
● Other: Microsoft Office, Excel (Advanced), QuickBooks EXPERIENCE
AI Engineer Intern - AndAI LLC May -Current
● Designed, tested, and deployed modular AI workflows using n8n, LangChain, and FastAPI, processes for clients in real estate, retail, resulting in a 40% increase in operational efficiency.
● Integrated NVIDIA Triton Inference Server with AWS Bedrock, PostgreSQL, and Pinecone Vector DB to serve LLM-powered agents at scale, achieving a 35% reduction in query latency and significantly improving context-aware response precision.
● Implemented end-to-end API testing protocols using Postman test suites, integration testing, and error simulation strategies reducing system failures by 50% and ensuring enterprise-grade reliability for scalable AI solutions. AWS Intern - MRCC - IT Services and IT Consulting May -Aug 2024
● Designed, deployed a scalable environment using AWS EC2, ensuring 99.9% high security for client-facing applications.
● Configured EC2 instances with IAM roles, security groups, key pairs enhancing data protection for cloud-based services.
● Automated server tasks using Python and AWS Lambda, streamlining operations and reducing manual intervention through AWS CloudWatch, Auto Scaling for optimal resource usage and cost efficiency. Data Analyst Intern - Digital Public Infrastructure UMass Sep -Dec 2024
● Streamlined data workflows by designing advanced SQL queries and dynamic Excel dashboards, accelerating report generation by 30% for 5+ infrastructure projects.
● Collaborated with diverse teams to resolve inefficiencies in data pipelines, leading to a 25% boost in processing speed initiatives. Teaching Assistant - Isenberg School of Management Jan -Current
● Achieved a 10% reduction in grading time by coordinating with faculty to implement efficient grading workflows.
● Enhanced student participation by leading engaging discussion sessions, as measured by a 20% increase in student performance. Product Manager - BUILD UMass Jan -Current 2024
● Accomplishing end-to-end development of an AI-powered legal search platform for 5,000+ users by architecting the system with React, Node.js, AWS, and integrating LangChain for semantic search; led 3 client contracts, boosting search speed by 40% and client engagement by 25%.
Technology Research Intern - AuraCycle - Wellness and Fitness Service Jun -Aug 2024
● Led a cross-functional team at a UPenn-founded app to deliver 3+ solutions, accelerating product launch timelines by 35% and improving stakeholder alignment across product and engineering through weekly strategy sprints. SWE Intern - Headstarter AI Jun -Sep 2024
● Built and deployed 5+ scalable full-stack apps using React, Next.js, Firebase, and AWS, improving load speed by 40% through optimized APIs and CI/CD-driven deployment.
PROJECTS
WorkflowX Automated Task Orchestration with n8n May 2025
● Engineered backend pipelines using n8n, TypeScript, and cloud triggers, automating complex multi-steps across departments.
● Designed event-driven workflows with webhook-based API integrations and real-time alerts, cutting manual task time by 50%, while ensuring zero downtime with Datadog monitoring and Pytest-driven reliability tests.
● Orchestrated third-party API integrations (Slack, Airtable, Notion, Mailchimp) with error-tolerant logic, drawing on scalable architecture principles from AndAI.
Crayo AI AI Customer Support CrayoAI
● Developed a scalable, context-aware chatbot system on AWS EC2, utilizing LLMs via AWS Bedrock API and implemented Retrieval-Augmented Generation (RAG) for improved language understanding and knowledge-based responses.
● Introduced LLM orchestration with task-specific models and considered adding multi-language support, user authentication, and feedback mechanisms to enhance personalization and refine performance. FinVerse Fintech Intelligence Platform for Nonprofits Aug 2024
● Built a containerized platform using Docker to simulate financial strategies including Momentum Investing, Equal-Weight Indexing, and Value Investing with handled network performance using PostgreSQL, CI tools, and automated testing.