Suleman Khan

Suleman Khan- |-| Google Scholar Profile Experience Lead AI/ML Software Engineer Oct 2024 – Present Rivon AI Bahawalpur, Pakistan • Built stateful, multi-agent systems using LangGraph and CrewAI; utilized LangSmith for observability. • Deployed on AWS serverless using SAM, Lambda, and SQS/SNS; delivered efficient real-time processing. • Engineered low-latency conversational AI agents with Vapi and Vocode for real-time voice interaction. • Built an IVR vs human classifier by fine-tuning a CNN-RNN on MFCCs; slashed latency from 1500ms to 150ms. • Integrated Whisper STT into the backend, significantly boosting transcription accuracy and quality. • Engineered a robust AI pitch deck generator using prompt engineering via OpenAI and standard slide tools. • Built FastAPI microservices using SQLAlchemy and Alembic; leveraged Celery with Redis/RabbitMQ. • Containerized apps with Docker; orchestrated via Kubernetes and Terraform; rigorously tested with Pytest. • Aligned AI with business goals by effectively leveraging GPT-4, Python, and AWS for scalable outcomes. Data Scientist Jul 2023 – Oct 2024 ICS Collections Remote, Chicago, Illinois, United States • Architected a multi-tenant SaaS platform for medical debt collection, managing data from 100s of clients. • Integrated OpenAI APIs, deep voice recognition, and NLP models to build intelligent calling agents. • Implemented a microservices architecture with FastAPI services and robust data pipelines for efficient ETL. • Optimized a PostgreSQL database with SQLAlchemy to manage over 100 million rows effectively. • Automated data ingestion using Celery with Redis/RabbitMQ, driving revenue growth of over $200K. Senior Full Stack Engineer Jun 2022 – Jul 2023 Ramped Careers Remote, United States • Led development of an AI-powered job search platform using Next.js, • Utilized • Engineered backend microservices using FastAPI for complex data processing and AI integrations. • Built a Chrome Auto Applier Extension to automate job applications, boosting user productivity. LangChain and OpenAI APIs to deliver personalized, Node.js, AI-driven and MongoDB. job Data Scientist recommendations. Nov 2020 – Jun 2022 Altosphere Remote, Portland, Oregon, United States • Designed and implemented a dynamic data • Utilized AWS SageMaker, • Processed transformed • Created an information extraction pipeline from PDFs using AWS Textract and boto3 for structured data. • Enhanced transfer speed by replacing REST APIs with gRPC and employing NRGpy for analysis. • Developed unsupervised and rule-based anomaly detectors for wind farm time series using adtk robustly. • Integrated timeseries • Executed tasks • Deployed containerized and Software Engineer Luminogics Ltd pipeline for energy analysis in wind and solar farms. EKS, Lambda, data from Postgres compression/decompression with Celery, FastAPI API RabbitMQ, microservices to Gateway and S3 to deploy predictive models. and AWS optimize and with Redis; RDS data to transfer monitored GraphQL boost on over via AWS overall distributed Flower for data for scalable quality. networks. reliability. performance. Jul 2019 – Nov 2020 Lahore, Pakistan • • • Developed web applications using HTML, CSS, JavaScript, and Angular for dynamic user experiences. Engineered web games with Phaser and optimized backend APIs using Node.js for seamless integration. Implemented RESTful services and collaborated on microservices design to improve overall system performance. Software Engineer, Internship Jun 2018 – Jul 2018 Nextbridge Lahore, Pakistan • Developed Android applications using Java, Android SDK, and RxJava for robust performance. • Engineered intuitive mobile UIs with efficient network communication using Retrofit, Volley, and Dagger. • Collaborated with cross-functional teams to deliver high-quality solutions meeting user requirements effectively. Software Engineer, Internship May 2017 - Aug 2017 Minimax Technologies Lahore, Pakistan • Developed a photo frame mobile app featuring multiple layouts, frames, templates, stickers, backgrounds, and fonts. • Created a voice recording app with custom audio signal visualization for enhanced clarity and usability. • Built a flashlight mobile app featuring auto on/off functionality and timer support for improved reliability. Software Engineer, Internship May 2016 - Oct 2016 Havanour Technologies Lahore, Pakistan • Engineered responsive web interfaces with HTML5, CSS3, and JavaScript, optimizing performance. • Developed modular, reusable UI components with semantic HTML and advanced CSS techniques, boosting efficiency. • Utilized modern debugging tools and rigorous cross-browser testing to ensure consistent functionality. Education Information Technology University Masters in Data Science Government College University Bachelor of Science in Computer Science Lahore, Pakistan 2019 – 2021 Lahore, Pakistan 2015 – 2019 Research Articles • Evaluating Adversarial Robustness of Fake-News Detectors Under Black-Box Settings • Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers • Tamp-X: Attacking Explainable Natural Language Classifiers through Tampered Activations Technical Skills Languages: Python, SQL, JavaScript, HTML, CSS, Java, TypeScript, GraphQL Data Science & ML Libraries: LangChain, LangGraph, CrewAI, TensorFlow, PyTorch, Keras, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, SciPy, Ray, OpenCV Web & App Frameworks: Vapi, Vocode, React, Angular, Next.js, Flask, Django, FastAPI, Android SDK, Bootstrap, Material UI, Tailwind UI, Redux, gRPC, JSX, Recharts Cloud, DevOps & Tools: Git, Docker, AWS (SageMaker, EC2, Lambda, IAM, CloudFormation, Glue, Aurora, S3, Athena), Azure (ML, Databricks, Blobs), GCP, Firebase, Kubernetes, Terraform, Twilio Databases & Storage: Pinecone, ChromaDB, PostgreSQL, MongoDB, Redis, Elasticsearch, NoSQL, Data Lakes, BigQuery Workflow & Orchestration: Celery, Apache Airflow, Prefect, Serverless Framework, Hadoop Paradigms & Methodologies: REST, TDD, CI/CD, IaC, MLOps, Data Warehousing, Cloud Computing, Containerization, IAM Other: AI, NLP, DNNs, RNNs, CNNs, Adversarial ML, XAI, BERT, Computer Vision, Text Generation, Speech Recognition (STT/TTS), LLMs, Prompt Engineering, Classifier Development, Asynchronous Programming