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@rennovasolutions.com
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Ramalingam Ram is listed as Generative AI, Machine Learning Engineer at NASOTECH LLC, a company with 3 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at rennovasolutions.com and a matched LinkedIn profile for Ramalingam Ram.
Ramalingam Ram previously worked as Data Engineer at Nasotech Llc and Architect (Automation) at Nasotech Llc. Ramalingam Ram holds Master Of Science - Ms, Computer Science from Bradley University.
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AeroLeads found 1 current-domain work email signal for Ramalingam Ram. Compare company email patterns before reaching out.
Motivated GenAI, Machine Learning Engineer with 3 years of experience specializing in Generative AI and Recommender Systems. Proficient in building, fine-tuning, and deploying deep learning models and recommendation algorithms. Hands-on experience with Transformer architectures, ChatGPT, OpenAI API, BERT, GPT models, and Collaborative Filtering. Demonstrated ability to optimize machine learning pipelines for real-world applications, contributing to improved security, personalization, user experience and ROI. Passionate about leveraging cutting-edge AI and ML technologies to drive innovation and deliver impactful business outcomes.
Listed skills include Systems Analysis, Customer Experience, Leadership, Team Building, and 45 others.
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Herndon, Virginia, United States
> Developed a personalized Goal template recommendation system using Collaborative Filtering and Matrix Factorization to enhance user engagement, resulting in a 25% increase in click-through rate (CTR).> Fine-tuned OpenAI API parameters to create dynamic recommendations of mentors and goal templates to mentees with high relevance by 90%.> Led the design.
Herndon, Virginia, United States
> Developed an automated AWS pipeline solution that processed multiple terabytes of data per month.> Designed and maintained Datalakes to ingest terabytes of data. Designed to serve as source of truth for the enterprise> Implemented end-to-end ELT / ETL architecture and pipelines for analyzing large data sets, identifying patterns and relationships in.
Herndon, Virginia, United States
> Guiding Engineers in testing UI and backend databases.> Identified scalability constraints and helped the team to establish the process for application scalability, reliability, security. This enhanced the user experience and growth. > Worked with engineers to implement the validation process of data and UI.> Provided guidelines in implementing SRE for.
Herndon, Virginia, United States
> Worked with users and engineering team in India to identify the pain points and improved the Kavigai user interface.> Helped creating training and onboarding artifacts for easy enrollment and adoption> Implemented HCD process. Conducted user interviews to improve the user experience. > Worked with CEO and engineers to enable fast paced sprints.
Bengaluru, Karnataka, India
> Overseeing the development of R&D products to achieve the best performance goals for E-Vehicle automotive> manufacturers and developing strategy and roadmap focusing on E-Vehicle manufacturer's revenue growth.> Accelerate the production of innovative Automated Test Systems (ATS) for the Electronic Control Unit (ECU) by 60% and in the course of.
Reston, Virginia, United States
Quick answers generated from the profile data available on this page.
Ramalingam Ram works for NASOTECH LLC.
Ramalingam Ram is listed as Generative AI, Machine Learning Engineer at NASOTECH LLC.
AeroLeads has found 1 work email signal at @rennovasolutions.com for Ramalingam Ram at NASOTECH LLC.
Ramalingam Ram is based in San Francisco Bay Area, United States, United States while working with NASOTECH LLC.
Ramalingam Ram has worked for Nasotech Llc, Rennova Solutions, Siteosys, Aol, and Nextel™️.
You can use AeroLeads to view verified contact signals for Ramalingam Ram at NASOTECH LLC, including work email, phone, and LinkedIn data when available.
Ramalingam Ram holds Master Of Science - Ms, Computer Science from Bradley University.
Ramalingam Ram is listed with skills including Systems Analysis, Customer Experience, Leadership, Team Building, E Commerce, Ui, Distributed Systems, and Test Automation.
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