# Sajal R. > Enterprise Sales Development @ Level AI | EECS & Haas @ UC Berkeley M.E.T Location: San Francisco Bay Area, United States Profile: https://flows.cv/sajalr ## Work Experience ### Enterprise Sales Development @ Level AI Jan 2025 – Present | Mountain View, California, United States ### Tutor @ CrunchTutor Jan 2023 – Jan 2025 | San Francisco Bay Area • Provided one-on-one and group tutoring for middle and high school students in a range of subjects, including AP and Honors Physics, Calculus, Statistics, English, Biology, Chemistry, and SAT prep. • Specialized in competitive programming, coaching students in Python, Java, data structures, object-oriented programming, ML/AI, and USACO competition strategies. • Designed personalized lesson plans to target individual student needs and improve comprehension, problem-solving skills, and academic performance. • Worked with 15+ students, adapting teaching methods to different learning styles to enhance engagement and retention. ### Senior Advisor @ Berkeley Consulting Jan 2024 – Jan 2024 | Berkeley, California, United States ### Senior Consultant @ Berkeley Consulting Jan 2024 – Jan 2024 ### Consultant @ Berkeley Consulting Jan 2023 – Jan 2023 ### Software Engineer Intern @ Digital Pool Jan 2024 – Jan 2024 • Implemented vectorization for a PostgreSQL database, enabling efficient semantic search and retrieval. • Optimized data processing pipelines to improve performance and scalability of database queries. ### Senior Consultant @ Christie's Jan 2024 – Jan 2024 | New York, New York, United States • Led travel-based project to optimize client's storage and transportation strategy, conducting on-site assessments. • Developed quantitative ranking framework to evaluate cost, storage security, data privacy, and sustainability, guiding third-party vendor selection using performance benchmarks and KPIs and ensuring data-driven decision-making to maximize ROI. • Designed implementation roadmap for facility transition and NYC shuttle integration, considering risks and mitigations. • Trained and mentored two consultants on research methodologies, vendor analysis, and strategic recommendations. ### Technical Consultant @ Sears Jan 2023 – Jan 2023 | San Francisco Bay Area • Developed an automated product recommendation system, optimizing appliance replacement processes and reducing labor costs through natural language processing, large language models, and ML deployment. • Designed and implemented a data pipeline using web scraping and machine learning libraries (Scikit-learn, NLTK) to analyze appliance attributes and customer preferences. • Developed a vectorization-based recommendation algorithm, prioritizing feature similarity, customer ratings, and brand loyalty, with a tiered implementation roadmap from basic matching system to advanced ML-powered upselling strategy. ### Full Stack Engineer @ Web Development at Berkeley Jan 2022 – Jan 2023 | Berkeley, California, United States • Project 1 (Spoak): Engineered a machine learning algorithm to detect walls, ceilings, floors, and furniture from room images, improving spatial recognition for interior design applications. • Project 2 (Dublin Robotics Club): Designed and developed a full-stack web application, ensuring a seamless user experience and robust functionality tailored to the club's needs. • Implemented scalable front-end and back-end solutions, integrating databases, APIs, and responsive interfaces. ### UI/UX Designer @ Web Development at Berkeley Jan 2022 – Jan 2023 • Collaborated with a team of 10+ designers and engineers to design and develop software solutions for clients. • Created intuitive UI/UX designs, translating user requirements into wireframes and interactive prototypes. • Worked closely with clients to refine product specifications, iterating based on feedback to enhance usability and performance. ### Frontend Developer @ Gravity Platforms Inc. Jan 2023 – Jan 2023 | Berkeley, California, United States • Developed a web-based video player to source and display content from Gravity’s social media mobile app, enhancing cross-platform accessibility. • Designed and implemented a social media registration page to streamline user onboarding and ensure seamless integration with the app. • Collaborated with cross-functional teams to optimize user experience and maintain design consistency across platforms. • Created responsive and visually appealing interfaces, focusing on performance, accessibility, and scalability. ### UI Designer @ Gravity Platforms Inc. Jan 2022 – Jan 2023 ### CS 61A Academic Intern @ UC Berkeley Electrical Engineering & Computer Sciences (EECS) Jan 2023 – Jan 2023 | Berkeley, California, United States • Helped facilitate a collaborative learning environment for 1,000+ students in UC Berkeley’s introductory computer science course. • Assisted students in understanding core concepts of Python, SQL, Scheme, functional programming, recursion, trees, linked lists, and object-oriented design. • Provided guidance and addressed student questions during lab sections and office hours, reinforcing problem-solving techniques and debugging strategies. ### Product Management Intern @ Tassel Software Jan 2023 – Jan 2023 • Designed full-stack blog web app with post creation, liking and commenting features, and post-filtering functionality. • Performed software quality assurance testing and documented bugs to ensure frictionless user experience. ### User Experience Intern @ Subject Jan 2023 – Jan 2023 | Los Angeles, California, United States • Conducted thorough tests of Subject’s web-based platforms to identify bugs and ensure full functionality. • Documented bugs clearly and concisely, making it easy for the development team to address and resolve them. • Developed detailed, step-by-step documentation of testing process to guide future automated testing systems. ### Consultant @ Silicon Valley Community Foundation Jan 2023 – Jan 2023 | San Francisco Bay Area • Conducted research on mobile home park ownership structures, tenant rights, and housing policy interventions. • Evaluated state and national policies, ranking their effectiveness based on scalability, execution feasibility, and impact. • Developed policy recommendations and strategic interventions for client, focusing on expanding tenant protections, financing options, and nonprofit partnerships, while assessing financial and legal challenges faced by residents. • Analyzed barriers to permanent residency classification for mobile home parks and created a framework for assessing home park conditions and ownership models, identifying key trends in corporate acquisitions and rent pricing strategies. ### Product Development Strategist @ BLUE ORIGIN Jan 2022 – Jan 2022 | Berkeley, California, United States • Researched and proposed data, energy, and asteroid-mined storage solutions for the Orbital Reef space station. • Conducted in-depth competitor analysis, market research, product positioning, and ROI assessment. • Developed potential partnership and M&A strategies to enhance commercial viability. • Presented key insights and recommendations to Blue Origin executives. ### Math Teacher @ Mathnasium - The Math Learning Center Jan 2021 – Jan 2022 | San Jose, California, United States • Instructed groups of 4-6 students, all aged K-12, at a time. • Taught a wide range of mathematical concepts, from number fluency to SAT prep. ## Education ### University of California, Berkeley ### UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program ### Bachelor of Science - BS in Electrical Engineering and Computer Science UC Berkeley College of Engineering ### Bachelor of Science - BS in Business Administration and Management, General University of California, Berkeley, Haas School of Business ### West Valley College ### High School Diploma Branham High School ### Academy of Art University ## Contact & Social - LinkedIn: https://linkedin.com/in/sajalr --- Source: https://flows.cv/sajalr JSON Resume: https://flows.cv/sajalr/resume.json Last updated: 2026-04-08