Lalit WAZIR is a Fullstack Software Engineer with nine years of experience building low-latency, production-grade systems for finance and automotive domains from Frankfurt. He has shipped scalable backend services in Java, Kotlin and Spring Boot, contributed to Android banking apps, and designed FX derivatives platforms for institutional traders. At Mercedes-Benz he combined data engineering and ML—leading a master’s thesis that improved charging-station forecast accuracy by 55% using Pandas, Spark and LSTM models on Databricks—then deployed monitoring and anomaly-detection services for the charging platform. Earlier work includes industrial automation tooling at Fraunhofer and security- and performance-focused solutions for U.S. banking clients, demonstrating strong operational ownership. Comfortable across the stack, Lalit blends data science, cloud (Azure) and JVM expertise to turn complex requirements into reliable, observable systems. He’s particularly attentive to reducing time-to-production through automation and pragmatic engineering trade-offs.
9 years of coding experience
3 years of employment as a software developer
High School High School/Secondary Diplomas and Certificates, High School High School/Secondary Diplomas and Certificates at Delhi Public School Noida
Master of Science - MS Automotive Software Engineering, Master of Science - MS Automotive Software Engineering at Technische Universität Chemnitz
Bachelor's degree information technology, Bachelor's degree information technology at Bharati Vidyapeeth
This Android app was created to spread awareness about the covid -19 virus. It contains the following functionalities: Realtime Dashboard that tracks the recent cases of covid-19 across the globe, New Aggregator Functionality, that displays relevant news about covid-19 by extracting data from various internet sources and Self Diagnosis Bot which ask users certains questions and based on their interaction make recommendation
Contributions:46 commits, 9 PRs, 41 pushes in 1 month
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