# Venkhatesh Arunachalam > Software Engineer @ Fidari | Building AI-Driven Solutions | Nvidia AI Hackathon Winner Location: United States, United States Profile: https://flows.cv/venkhatesh I’m a Machine Learning & Data Engineer with 3+ years of experience building end-to-end AI systems that solve real-world problems, from improving oncology care with large language models to supporting student mental health through predictive data insights. My work sits at the intersection of data, infrastructure, and applied machine learning. I enjoy designing systems that are not just scalable, but also impactful, whether it’s helping clinicians make better decisions, or enabling research teams to work with messy real-world data more effectively. Outside of work, I’m always curious about where AI is headed next and how we can build tech that’s not just powerful, but useful and thoughtful. Always excited to connect on anything tech, data, or cloud-related! ## Work Experience ### Software Engineer - ML @ Fidari Jan 2024 – Present Building a hybrid RAG engine combining dense vector retrieval (FAISS) with BM25 re-ranking (Elasticsearch) and semantic caching in Redis, improving clinical search quality by 22%. ### Software Developer @ Indiana University - Kelley School of Business Jan 2023 – Jan 2024 | Bloomington, Indiana, United States • Designed and deployed an AI-driven mental health analytics platform across multiple universities. • Transformed heterogeneous behavioral, sensor, and text data into actionable insights for improved mental health support. • Developed scalable data pipelines and deployed transformer-based models for mood and stress prediction. • Implemented drift-aware retraining systems on secure, HIPAA-compliant cloud infrastructure. ### Software Development Engineer Intern @ FourKites, Inc. Jan 2023 – Jan 2023 | Chicago, Illinois, United States • Optimized the Purchase Order system pipeline across 4+ microservices, improving efficiency and scalability using Java (Spring Boot), PostgreSQL, Redis, and Kafka, all deployed on AWS EKS via Jenkins CI/CD. • Developed an Elasticsearch ETL pipeline to sync high-volume data efficiently, reducing CPU usage by 60% and infrastructure costs by 10%—a major performance boost. • Conducted load testing & API performance validation (JMeter) and integrated gRPC for faster inter-service communication, improving request handling and system reliability. • Set up monitoring & observability with Prometheus & Grafana, helping the team identify & resolve performance bottlenecks. ### Software Engineer @ Fynd (Shopsense Retail Technologies Pvt. Ltd.) Jan 2021 – Jan 2022 | Mumbai, Maharashtra, India ◦ Developed a spark streaming ETL pipeline to pull data from mobile users to hive table for shopping behavior analysis. ◦ Optimized a data transformation pipeline with dbt to reduce a frequent query runtime from 30 minutes to 2 seconds ◦ Built automation pipeline to generate android apk for retail customers which optimized the build time of apk by 50% using Kubernetes cloud technology. ◦ Created JAVA SDK for retail users to integrate data analytics and eCommerce services into their user platform. ### System Engineer @ Tata Consultancy Services Jan 2020 – Jan 2021 ◦ Worked on a Data Engineering project that helped the client Tata Chemicals with their Azure cloud adoption also integrated azure edge system and powerBI to retain factory data in on-premise servers and perform analytics on it. ◦ Received on the spot award for building crowd monitoring system software to count the number of people attending an event from a density map using Azure IoT Edge device. ### Instructor @ SIES Graduate School Of Technology Jan 2018 – Jan 2021 1) I along with my team used to conduct Android Developer sessions every weekend for college students to solve queries related to android app development. 2) Helped students by educating them about various open resources available to develop android project. 3) Presented a talk for students on "Open source machine learning tools for android". ### Senior Android Application Developer @ SIES Graduate School Of Technology Jan 2018 – Jan 2020 | Navi Mumbai Developed Companion, an Android Application, to receive relevant messages and notifications relevant to exams, railway concessions, attendance and many more to save time and make life simple at SIES GST with a click. ( https://play.google.com/store/apps/details?id=in.edu.siesgst.companion&hl=en_US ) ### Android Developer Intern @ Artivatic.ai Jan 2019 – Jan 2019 | Bengaluru, Karnataka, India 1) Developed an Auto Insurance Application to claim Vehicle Insurance easier using Smartphones. 2) To make insurance claim more easier and real time, introduced and developed a vehicle damage detection feature for android using TensorFlow lite. 3) Compared to traditional Network calls, model inferencing using tflite was faster and Improved User experience due to offline and minimal latency. ### Android Developer Mentor @ Studyleague IT Solutions Jan 2018 – Jan 2018 | Thane, India Worked with Studyleague It Solutions as a Mentor in Android Development Domain. My Responsibility was to help the interns in development of their Internship project by solving their Technical doubts and queries. ### Intern @ HFA Solutions Pvt. Ltd. Jan 2018 – Jan 2018 | Mumbai Area, India Learned working of GSM, GPS module and implemented a portable Outdoor Human Safety System and as a result it got used for the Safety of People. ### ML/AI Intern @ ExpertsHub Industry Skill Development Centre Jan 2018 – Jan 2018 | Pune Area, India 1) Developed a ​Machine Learning​ Product named ReactSense using Tensorflow, Keras, CK+ which recognises Facial Emotion and does Live emotion tracking. 2) used to give user review on the video product by tracking live emotion. ## Education ### Master's degree in Data science Indiana University Bloomington ### Bachelor of Engineering - BE in Computer Engineering University of Mumbai ### HSC Mumbai College Of Arts Commerce & Science (MT Educare) ### SSC Little Angels Secondary High School ## Contact & Social - LinkedIn: https://linkedin.com/in/venkhatesh-arunachalam - Website: https://github.com/venkhatesh - Website: https://null-pointer.blog/ --- Source: https://flows.cv/venkhatesh JSON Resume: https://flows.cv/venkhatesh/resume.json Last updated: 2026-03-29