# Sankeerth Sridhar Narayan > Software Developer | Building AI-powered applications & Scalable Data Pipelines Location: Santa Clara, California, United States Profile: https://flows.cv/sankeerth I am a developer with a Master’s in Computer Science. I enjoy building systems that bring together AI, analytics, and software engineering to solve real-world problems. My experience covers data engineering, analytics development, and software engineering, where I’ve designed pipelines, built dashboards, and created AI-powered applications. I have worked with AWS, GCP, and Snowflake to design scalable data pipelines and real-time ETL workflows. Using tools like Tableau, Power BI, and custom web apps, I’ve built dashboards that help teams make faster decisions. On the AI side, I’ve applied PyTorch, TensorFlow, and NLP techniques to create chatbots, predictive models, and data-driven applications. My work with Spark and PySpark has also helped me process and analyze large datasets at scale. Some of my recent projects include a Website-Chatbot-Agentic-RAG, which transforms static documentation into a conversational assistant. At Cisco, I built an analytics framework that cut debugging time by 30% for the Silicon One engineering team. At Healthark Insights, I improved image processing accuracy by 22% and contributed to research that raised treatment recommendation quality by 30%. Currently, I am working at Calitopia building an email management system to optimize their operations for newsletter campaigns. I enjoy creating solutions that make an impact—whether that’s saving costs, reducing manual effort, or enabling smarter decisions. My goal is to continue growing as a developer who can apply AI and data engineering to build scalable, intelligent products. Skills: Python, SQL, PyTorch, TensorFlow, NLP, Machine Learning, Data Engineering, ETL, AWS, GCP, Snowflake, Spark, PySpark, Tableau, Power BI, Streamlit, Supabase, Git If you’d like to connect or discuss opportunities, feel free to reach me at sankeerthnarayan1@gmail.com ## Work Experience ### Software Engineer @ Relanto Jan 2026 – Present | Fremont, CA • Developing AI-driven systems and solutions for client use cases. ### Data Engineer Intern @ Relanto Jan 2025 – Jan 2026 | Fremont, CA • Upskilled in data engineering practices with a focus on Python, SQL, databases, cloud pipelines, and scalable ETL/ELT workflows. • Architected and developed an automated geospatial intelligence tool for sales strategy, enabling real-time discovery and analysis of global office locations via web scraping and AI. • Engineered a multi-stage data pipeline using Python, Selenium, and Crawl4AI to scrape unstructured corporate data, optimizing Chromium instances for high-speed extraction. • Designed an interactive hierarchical graph visualization for the frontend, allowing the sales team to analyze organizational presence and plan territory expansion geographically. ### Software Developer @ Calitopia Jan 2025 – Jan 2026 | California, United States • Developing an Email Management System (EMS) to streamline outreach, newsletters, and contact management across 60K+ subscribers, leveraging React, TypeScript, Node.js, and PostgreSQL • Building modular, scalable front-end components with React Query and Material-UI, enhancing performance and reducing re-renders by 40% • Implementing RESTful APIs and data synchronization pipelines using Node.js and mySQL, ensuring real-time updates for 100K+ records ### Software Engineer II Intern @ Cisco Jan 2024 – Jan 2024 | San Jose, California, United States • Contributed to the Silicon One, which supports high-bandwidth applications for Fortune 100 companies, including data centers, AI/ML systems, and routers. • Created an interactive web-based visualization framework using Panel to analyze the resource utilization for the silicon one architecture. • Developed functionalities to track resource usage trends at specific points in time using commit hashes, achieving a 30% decrease in debugging. • Designed a scalable system for data extraction and automatic updates, reducing manual updates by 25%. • Optimized tracking methods, enhancing efficiency by 50% and benefiting the Silicon One team at Cisco, which consists of 800 members, by 20%. • Engineered and submitted a patent for an anti-counterfeiting solution for Cisco, earning second place in the Innovation 24 Challenge. ### Consultant @ Healthark Jan 2023 – Jan 2023 | Bengaluru, Karnataka, India • Conducted a meta-analysis on the impact of varicocele embolization on men's fertility, achieving 100% client satisfaction. • Implemented an image processing pipeline for preprocessing and enhancing microscopic images of parasitic eggs, improving model detection accuracy by 22%. • Conducted a systematic review on surgical interventions for anal fistula, resulting in a 30% increase in treatment efficacy recommendations. ### Research Intern @ Chennai Institute of Technology Jan 2022 – Jan 2023 | Chennai, Tamil Nadu, India • Contributed to the Center the Center for Quantum Science and Technology lab, collaborated with Prof. Monodeep Chakraborty • Performed comprehensive research to develop Hamiltonian matrices for specific applications. • Generated graphical visualizations using Python to present research findings, resulting in a 10% improvement in visual clarity. • Co-authored a journal paper with a base in quantum field theory on properties of polarons. • Led a team of three in coordinating efforts toward publication. ## Education ### Master's degree in Computer Science and Engineering University at Buffalo ### Bachelor of Engineering - BE in Computer Science and Engineering Anna University ## Contact & Social - LinkedIn: https://linkedin.com/in/sankeerth-sridhar-narayan - GitHub: https://github.com/Sankeerth-S-Narayan --- Source: https://flows.cv/sankeerth JSON Resume: https://flows.cv/sankeerth/resume.json Last updated: 2026-04-11