Syed Aqhib Ahmed

Syed Aqhib Ahmed Visa Status : F1 US Visa with work authorization Email :-Mobile : - Education • University at Buffalo Master of Science in Engineering Sciences(Data Science); Buffalo, NY Aug 2018 – Feb 2020 • Anna Universtity Bachelor of Engineering in Computer Science and Engineering; Chennai, India Aug 2014 – July 2018 Relevant Experience • MTX Group Artificial Intelligence Intern Albany, New York June 2019 - Aug 2019 ◦ Design and Architecture:: Worked closely with management and clients to gather requirements and set expectations, while simultaneously working with the Engineering team to design an Object Detection application according to the requirements. ◦ Object Detection Engine:: Worked on an end to end development of an object detection engine, involving face detection, face recognition and emotion recognition in real time. Tasks included data cleaning, writing controllers to process I/O from streaming devices, researching advanced CNN architectures, implementing transfer learning on pre-trained models, data validation, and set up a production data pipeline in AWS. • Anna University Research Assistant Chennai, India Sep 2017 - Mar 2018 ◦ Tsunami travel time prediction: Partnered with INCOIS (Indian Natinal center for Ocean Information Services) to create and deploy a time series model that accurately predicts tsunami travel time to highly populated regions of the country. Increased the accuracy of the model by 12.5% and reduced training time by a factor of 10. ◦ Parallelizing model: Parallelized existing tsunami prediction model using scikit-cuda and py-cuda, enabling it to run on a GPU cluster over a low latency network, reducing training time and enabling online training of the model. • SAS Analytics Intern Mumbai, India May 2017 - July 2017 ◦ Financial Time-Series data: Researched and prototyped Hidden Markov model for Financial Time-Series volatility forecasting in Python. Implemented the model in C for efficiency. Attained accuracy of 83%. ◦ Presales: Assisted the SAS VA team, demonstrating problem solving capabilities of SAS VA to potential clients. Projects • SQL Query Engine: Implemented an end to end SQL engine including a parser, loaderand optimizer, which ended up being the best performing engine out of twenty teams’ engines in the course (Java, Multithreading). • CareerVillage.orgRecommendation Engine: Developed a recommendation engine to predict the ideal professional to direct questions to when a new question is asked by a user on the platform (LDA, Natural Language Processing). • Boston Emergency Data Analysis: Identified districts in the Boston area with higher than average emergency calls and provided recommendations to respond to emergencies in each geolocation in the form of emergency services by optimizing their placement. Built a predictive model using neural networks to predict the type of emergency of the caller based on its geographical and temporal information (EDA, Neural Networks). • Analyzing a virtual game economy: Used World of Warcraft Auction House data from the past ten years to create an intelligent investment plan in order to maximize profits. Drew parallels between in game and real life economy. Programming Skills • Languages: Python, R, Java, Matlab, Javascript, C++, Fluent in SQL, PHP, Perl • Tools: Docker, Keras/Tensorflow, scikit-learn, CUDA, AWS (EC2, Kinesis, S3, Lambda, SNS, SQS), Hadoop, Kafka, SAS VA, MEAN Stack, Bokeh, Plotly, D3.js Awards and Achievements • Microsoft Code-Fun-Do: Won Campus second prize at (undergraduate) Microsoft’s Code-Fun-Do Hackathon. • Competitive Coding: Second place in National level competitive coding contest Code-Olympics (India).