Abraar Ahmed Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

1. Took the lead in exploring deep learning and generative AI solutions, comparing closed-source and open-source models to optimize cost-effectiveness and scalability.2. Acted as a pioneer in partnering with machine learning engineering to introduce and test new tools, ensuring smooth adoption and paving the way for the rest of the data science team.3. Continued to advocate for and develop solutions maximizing return on investment, balancing time and cost considerations, and ensuring that deployed models represent the best solution for specific products.4. Successfully implemented deep learning content classification improvements, utilized across the organization for various goals such as page segmentation for canonical entities and page target sizing for external entities.5. Communicated the value of content classification advancements to the rest of the engineering teams, paving the way for automated model training and deployment.6. Conducted research on the value of embeddings for vector database implementation in-house, identifying potential benefits of different models for data storage and retrieval.7. Explored generative AI on major platforms and APIs including OpenAI, Anthropic, and Google's Vertex, providing a template for the team and data platform engineering to build upon.8. Demonstrated capabilities of deep learning and generative AI in tasks such as quick answers and quiz generation at a reduced cost compared to external services.9. Investigated fine-tuning of open-source large language models and their infrastructure requirements, leading to internal ownership of fine-tuned LLMs and generation engines.10. Increased visibility of data science work through knowledge-sharing presentations, tech demos for other teams and tech leadership, with hackathon demonstrations receiving commendations from leadership and executives.

Us

1. Designed a machine learning model deployment system and collaborated to improve data pipelines.2. Built supervised models and neural nets on billions of rows of data for classifying rare events and gig work miles.3. Implemented search and clustering mechanism for places of interest discovery.4. Researched and developed a queuing simulation system for estimation of users wait time.5. Derived insights for proprietary B2B analytics platform.6. Developed optimization system for serving ads on the mobile application.

Chattanooga, Tennessee, Us

1. Researched and built multiple models for move length recommendations based on explicit order flow questions and implicit customer behavior data.2. Engineered key aspects of the ETL process and machine learning model deployment platform.3. Developed time series models for product demand and workforce supply forecasts; deployed the latter and surfaced the results on internal tools for use by the employees at headquarters to make operational decisions.4. Audited data and developed a warehouse for downstream reporting and providing descriptive analyses.5. Ran price elasticity and sensitivity tests to aid in the company’s transition from flat pricing, and prototyped a dynamic pricing strategy optimization system.6. Conducted network based workforce interaction study for improving the assignment algorithm with high performing team recommendations.7. Implemented in-house marketing revenue attribution including cooperative game theoretic models for fair attribution.8. Ran sensitivity analyses and scenario simulations to maximize returns for deals struck with e-commerce deal sites to advise executives on deal site strategy.9. Designed A/B and multivariate tests for website changes, established methodology and process for testing, and regularly advised different departments on experimentation.10. Optimized truck supply per market based on demand, workforce supply, and cost constraints during company's introduction of new full-service product.11. Built dashboards for insight into company state of affairs and results of experiments.12. Developed a bayesian statistics backed system for measuring development of workforce.13. Developed interactive, geo-spatial visualizations, and conducted spatiotemporal analyses for product effectiveness and high potential recruitment areas.14. Analyzed census demographic data, website event data, and established metrics to advise executives on market penetration, expansion, and prioritization.

Auburn, Al, Us

1. Expert systems researcher in the Industrial and Systems Engineering Data Analytics group.2. Research work was presented before a panel of academics and industry professionals at the annual meeting of the Institute for Operations Research and Management Sciences (INFORMS) and accepted at the annual meeting of the Institute of Industrial and Systems Engineers (IISE, formerly IIE).3. Worked on 3 research projects in which novel predictive methods were applied to large sets of financial and economic data. Acquired the data from disparate sources and organized them. 4. Framed traditional time series problems with financial data in a novel manner as those of temporal community engagement, and made use of data sources such as news, Wikipedia, secondary and derived variables alongside the conventional financial and economic data sources.5. Developed multiple machine learning models for market movement prediction and designed experiments to pick the best one. Additionally, designed implementations of fuzzy systems and optimization methods to make accurate stock price and return predictions.6. Improved portfolio returns by predicting market movement with >85% accuracy (price movement accuracy). Further, was able to achieve >70% accuracy in magnitude of change prediction (price accuracy).7. Utilized statistical inference and data visualization methods to capture and display relations between economic factors and online community activity.8. Prepared and organized presentations to effectively communicate research with faculty and students of different disciplines, and to enhance adoption of proposed methodologies. Developed interdepartmental networks by collaboration.9. Evaluated literature in order to identify new avenues of research, experiment for viability, and advise on strategic group decisions. Post graduation, consulted for the group till completion of research projects in progress.10. Research published in Expert Systems with Applications (ESWA) journal.

Auburn, Al, Us

1. Mentored students on improving the quality of their writing ranging from freshman essays to PhD dissertations.2. According to statistics recorded by the Office of University Writing, over a quarter of my appointments are those of returning clients pointing to the fact that they were satisfied with previous consulting services I provided.

Auburn, Al, Us

1. Student managed investment fund; AU Investment Club, renamed Auburn Student Investment Fund circa 2017.2. Primarily focused on technology, telecommunication, and energy sectors.3. Conducted asset allocation, industry, and economic research pertinent to the fund’s investment objectives.

Nagpur, Maharashtra, In

1. Revamped the measurement and evaluation department.2. Established a robust impact analysis system.3. Developed strategy in cooperation with the academic planning and operations departments.

1. Estimation department: Took stock of the requirements and drew out the cost that a client would incur for a transformer or switchgear unit order based on the value of each component. The Bill of Materials (BOM) and logistics played a big role.2. Designing department: Planned and designed electrical systems within predefined cost and area constraints.3. Production floor: Comprehended the intricate, interlinked stages of electrical manufacturing and assembling. The raw materials utilized to make the bus bars and the housings of the units, the drives and the circuit breakers arrived on different dates. Worked on optimizing batch management so that they were utilized in a First in First out (FIFO) basis.4. Worked in each of the sections, often performing important maintenance work. Attained valuable insight into workflow and how every small part of work should be effectively managed to achieve best results.5. Furnished MEMF-ETA with a report of technical experience attained and with suggestions on further streamlining the functioning of the organization.

Chennai, Tamil Nadu, In

1. Designed a Formula One style autocross race car to compete with over 120 teams from around the country.2. One of only 20 teams invited to participate in the final round at the Buddh International Circuit.3. Designed a custom data logging system using a PIC microcontroller to store data from vehicle sensors in real time.4. Utilized PADS software and Windows XP OS to design the system.

1. Designed a path following robot with a team of 4 engineers.2. Used Keil uVision software to write efficient program code to drive the robot based on visual feedback obtained from light and color sensors.3. Finished second in the competition out of 15 nationwide teams.

Vancouver, British Columbia, Ca

1. GITEX, an annual consumer computer and electronics trade show; an opportunity to understand the skill and technology that goes into maintaining a business and by extension, an industry.2. Marketed Enterprise Resource Planning (ERP) tools, analytics tools, Supply Chain Management (SCM) software, operations and business management tools.

Master Of Science (Ms), Industrial And Systems Engineering

Bachelor Of Engineering (Be), Electrical And Electronics Engineering