Arslan Saleem Full-Stack Engineer

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Founding Software Engineer

PandasAI (YC W24)

Sep 2023 - Current (2 years 9 months)

Led design and development of the PandasAl library, building LLM agent pipelines, RAG workflows, vector store integrations (Chroma, Qdrant), and secure prompt engineering. Built PandasBI, a production analytics platform using TypeScript (Node.js, Express) and Python (FastAPI), with a React and Next.js frontend deployed on AWS Lambda and EC2. Developed PandaETL, an OCR-based document processing and ETL platform for unstructured PDFs, enabling vectorization, AI-powered data extraction, and LLM-based chatbots. Designed event-driven, parallel processing architectures and deployed scalable ETL and inference pipelines on AWS ECS. Built a data analytics platform enabling LLM-powered chat over CSV files and production databases with a semantic laye

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CTO and Co-Founder

E-Mareez Care

Jan 2022 - Sep 2023 (1 year 9 months)

Owned technical strategy and system architecture, leading end-to-end development and aligning platform design with business and customer requirements. Developed and maintained web and mobile applications using JavaScript, TypeScript, React, Next.js, and React Native. Led backend development and REST API integrations, ensuring secure, scalable, and high-performance systems. Designed and implemented CI/CD pipelines on AWS, enabling automated deployments and improved reliability. Collaborated with cross-functional teams and mentored engineers while enforcing best practices for performance, security, and maintainability.

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Data Scientist

Quant Data Solutions

Jun 2020 - Dec 2021 (1 year 7 months)

Analyzed over 10 years of historical market data across equities, options, and crypto to generate and validate 50+ trading hypotheses with measurable alpha potential. Built visualization and research frameworks that reduced hypothesis validation time by 40 percent, accelerating strategy iteration and research throughput. Developed high-performance trading algorithms in C++ using Intel intrinsics, improving backtest and simulation runtimes by 3x. Led code reviews to resolve performance bottlenecks and memory issues, reducing production system latency by 25 percent and improving system stability. Delivered forecasting models for US, Korean, and crypto markets used by hedge fund clients to support live trading and portfolio decisions.

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Technical Team Lead

Automotive Artificial Intelligence

Dec 2017 - Jun 2020 (2 years 7 months)

Led the ReplicaR team, coordinating frontend and backend developers to deliver advanced simulation systems. Developed scenario parameterization modules, improving test coverage for drive safety and robustness. Optimized performance by enabling parallel execution of parameterized scenarios, significantly improving testing speed and system scalability. Designed and implemented an incident detection module to identify live simulation incidents and convert them into testable scenarios. Built a domain-specific language parser and executor for OpenScenario M-SDL using C++ and ANTLR4.

Junior Software Engineer

Zigron

Jun 2016 - Nov 2017 (1 year 6 months)

Contributed to large-scale big data analytics projects using Apache Spark, Hadoop, Kafka, Amazon Kinesis, and Cassandra. Built a network analytics pipeline to ingest data from Amazon Kinesis, store in Cassandra, and analyze using Apache Spark with Java. Developed a VPN analytics application to track and predict user churn using Apache Spark. Researched and evaluated migration of Fraud Lens databases from SQL to NoSQL, including MongoDB, Cassandra, and HDFS.

Arslan Saleem

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