# Priyanka Ravichandran > Software Engineer ll @Upscale AI | UC Berkeley MAnalytics | SAI, SONiC & Networking Systems Location: San Francisco Bay Area, United States Profile: https://flows.cv/priyankaravichandran I build data tools, automate the repetitive stuff, and try to make systems that help people get work done: faster, smarter, and with fewer headaches. With a Master’s in Analytics from UC Berkeley and a background in data strategy, I’ve worked on real-world projects at Inara, building tools that combine engineering precision with business context. Lately, I’ve been building AI-driven workflow automation tools using agent frameworks like LangChain and n8n. I’m especially interested in using agents to automate high-friction tasks in marketing and web scraping—replacing hours of manual effort with modular, intelligent systems. I’m looking for full-time roles in data analysis, product roles, or ML-adjacent build work - basically, anywhere I get to solve real problems with clean code, AI tools and common sense. And yes: every message I send is actually written by me. No AI fluff, no cold outreach cringe. Just one curious builder looking to connect with teams doing meaningful, efficient, maybe-even-a-little-chaotic work. Let’s talk if you’re hiring, or building something interesting. ## Work Experience ### Software Engineer II @ Upscale AI Jan 2026 – Present ### Product Data Analyst @ Inara AI Jan 2024 – Jan 2026 | California, United States • NLP based categories and specialties classification : Using RapidFuzz to classify service types of providers in the directory with an accuracy of 80% • LLM-Powered Automation: Developed AI agents using Langflow and n8n with OpenAI models to automate content generation, tripling deployment speed and minimizing repetitive work. • Feature Optimization: Collaborated cross-functionally with UX, marketing, and engineering to design A/B tests and refine user navigation, boosting onboarding engagement and user retention by 30%. • Data Structuring & Reporting: Developed SQL-based pipelines to clean and structure 10k+ provider and school records, enabling dashboards and performance insights for internal teams. ### Data Analyst Intern @ Inara AI Jan 2024 – Jan 2024 | United States During my internship, I engaged in a variety of tasks that honed both my technical and strategic business skills: 1. Testing and Bug Documentation: Managed and documented software bugs using Jira, enhancing the application's reliability. 2. Competitive Analysis and Market Positioning: Performed thorough competitive analyses to identify market trends and opportunities, aiding strategic decision-making. 3. Data Management and Analysis: Developed and validated datasets using Python for web scraping and Excel, including utilizing the YouTube API to gather data from YouTube channels. 4. Content Development: Refined website content and integrated AI tools to optimize content creation processes. 5. Communication and Problem Solving: Conducted triage calls to efficiently address and resolve issues, improving team communication and project flow. These experiences significantly improved my technical capabilities and provided a deep understanding of business dynamics within a tech-driven environment. ### Data Engineer @ infoval.ai Jan 2025 – Jan 2025 ### Project Team Member @ Generative AI at Berkeley Jan 2024 – Jan 2024 | Berkeley, California, United States ### Associate Lead (Corporate & PR) @ DSC SRM - Powered by Google Jan 2022 – Jan 2022 | Chennai, Tamil Nadu, India As the Associate Lead of Public Relations at Google Developer Student Club (GDSC) at SRM, I successfully managed the intricacies of dealing with diverse opinions and viewpoints within the on-campus technical club. Navigating through varying perspectives and efficiently carrying out this challenging responsibility, I honed my skills in conflict resolution and careful communication. Amid the challenges posed by the COVID-19 pandemic, I collaborated with my team to organize an impactful online session. This session aimed to raise awareness and disseminate crucial messages from frontline doctors working tirelessly to combat the pandemic, showcasing my commitment to community engagement and leveraging technology for a greater cause. ### PR team member @ DSC SRM - Powered by Google Jan 2021 – Jan 2022 ### Intern @ Tata Consultancy Services Jan 2022 – Jan 2022 ● Designed and deployed a predictive analytics system at Tata Consultancy Services, achieving a 20% reduction in customer churn through the strategic application of AWS technologies like S3 and SageMaker, enhanced by Tableau dashboards. ● Employed MLOps practices for real-time data processing and ongoing model optimization, markedly improving service management efficiency. ● Engineered a sophisticated movie ticket booking system using Spring Boot, focusing on modular, single-function components to refine system architecture. ● Executed a comprehensive three-month comparative analysis of traditional web applications versus microservices architectures within India's entertainment sector, identifying and rectifying critical bottlenecks to increase issue resolution speed by over 30%. ● Applied extensive skills in machine learning and microservices to significantly enhance project outcomes, demonstrating strong technical development and strategic problem-solving capabilities. ### Reporter @ Spectrum SRM Jan 2020 – Jan 2022 | Chennia, India As a reporter for Spectrum SRM, the official newsletter of SRM, I played a crucial role in capturing the vibrant essence of the university's activities. My responsibilities encompassed writing engaging and informative articles, providing a freewheeling perspective on various topics. I covered a spectrum of college events, ensuring comprehensive coverage across all SRM campuses nationwide. This experience honed my skills in effective communication, event reporting, and content creation, contributing to the dynamic and informative nature of Spectrum SRM. ### Machine Learning Intern @ Rearticle Jan 2021 – Jan 2021 During my data science and machine learning internship, I applied Python-based algorithms to develop predictive models for real-world problems, deepening my understanding of supervised and unsupervised learning methods. Utilizing APIs to collect and process datasets from various sources taught me essential skills in real-time data retrieval and preprocessing. I enhanced my data analysis and visualization abilities using libraries like Pandas, Matplotlib, and Seaborn to extract meaningful insights and effectively communicate findings. Delving into feature engineering and data preprocessing—including data cleaning, handling missing values, encoding variables, and normalizing features—improved model performance. Collaborating with a team on integrating machine learning models into applications bolstered my teamwork and problem-solving skills. Exploring advanced topics like deep learning with TensorFlow and Keras prepared me for more complex challenges. This internship provided a solid foundation in data science and machine learning, equipping me to tackle data-driven projects and contribute effectively to future teams. ### Internet of Things Intern @ EDGATE TECHNOLOGIES PRIVATE LIMITED Jan 2019 – Jan 2019 | Chennai, Tamil Nadu, India ● Developed intelligent light bulbs using NodeMCU and Blynk, incorporating presence detection to automate lighting control based on occupancy. ● Refined prototypes based on user feedback and market trends and designed a product that reduced energy consumption for lighting by 25% in test environments, aligning with sustainability goals ## Education ### Masters in Analytics University of California, Berkeley ### Bachelor of Technology in Computer Science in Business Systems SRM IST Chennai ### Chennai Public School - India ## Contact & Social - LinkedIn: https://linkedin.com/in/priyanka-r-9202 - Portfolio: https://priyankaravi9202.wixsite.com/priyanka --- Source: https://flows.cv/priyankaravichandran JSON Resume: https://flows.cv/priyankaravichandran/resume.json Last updated: 2026-04-10