Vijay S Kalmath Email & Phone Number
@columbia.edu
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Who is Vijay S Kalmath? Overview
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Vijay S Kalmath is listed as Machine Learning Research Engineer at Scale AI, a company with 302 employees, based in New York, New York, United States. AeroLeads shows a work email signal at columbia.edu and a matched LinkedIn profile for Vijay S Kalmath.
Vijay S Kalmath previously worked as NLP - Machine Learning Engineer at Lexalytics, An Inmoment Company and Graduate Machine Learning Research Assistant at Columbia University In The City Of New York. Vijay S Kalmath holds Master Of Science - Ms, Data Science, 3.8/4.0 from Columbia University In The City Of New York.
Email format at Scale AI
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AeroLeads found 1 current-domain work email signal for Vijay S Kalmath. Compare company email patterns before reaching out.
About Vijay S Kalmath
Master's student at Columbia University specializing in Data Science with a focus on Deep Learning and Natural Language ProcessingNLP-Machine Learning Engineer at Lexalytics with expertise in LLMs, training/fine-tuning pipelines, and optimization.Passionate about deep learning research and large language models with a research background at Columbia.Extensive experience in software development, DevOps, and machine learning accrued across multiple roles and open-source contributionProven leadership capabilities in supervising and mentoring engineering teams, with experience in hiring and onboarding new talent.
Listed skills include Artificial Neural Networks, Leadership, Bert, Pandas, and 43 others.
Vijay S Kalmath's current company
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Vijay S Kalmath work experience
A career timeline built from the work history available for this profile.
Nlp - Machine Learning Engineer
- Enhanced multi-lingual key-phrase extraction system with fine-tuned HuggingFace BERT, achieving 0.85 F1 score.
- Optimized BERT model inference pipeline with ONNX runtime accelerator and quantization, reducing API response time by 5%.
- Improved LLAMA2-7B's customer review summary generation with QLORA and LORA techniques with PEFT library.
- Designed GPT-4 prompts to generate 1000+ synthetic reviews for sales presentations, eliminating the use of real-world data.
Graduate Machine Learning Research Assistant
- Official Maintainer of AIModelshare Python library on conda-forge with 35,576+ downloads.
- Designed and developed model determinism and model replication framework using TensorFlow.
- Engineered pipelines for cloud-based storage and hosting of Keras and PyTorch models, reducing AWS operating costs.
Graduate Deep Learning Research Assistant - Columbia Wimnet
In Collaboration with Dr. Igor Kadota, and Abhi AdhikariObjective: Detect Wind and its effects in FMCW Radar Transmissions for micro-climate predictions with Deep Learning.- Designed and Implemented Data Extraction pipelines on Radar Measurements to develop complex-valued range-velocity data. - Analyzed dataset to determine spatial properties and tested.
Course Assistant - Machine Learning Security
- Developed Course Contents on Machine Learning Security headed by Professor Suman Jana - with a focus on Machine Learning - Security and Adversarial Attacks.
Course Assistant - Deep Learning And Neural Networks
- Developed Course Contents for Deep Learning and Neural Networks Course by Professor Zoran Kostic for the Columbia AI executive program. - Evaluated and Refined Deep Learning material and theoretical quiz questions.
Network Engineer-Ii- Escalation Engineer For Cisco Aci Sdn Solution
- Automated Team Performance metric analysis for managerial reports. Forecast resource requirement using Regression Models.
- Designed Data Pipelines for stateful tracking of Cisco Application Centric Infrastructure labs, improved server utilization by 40%.
- Authored 5 technical briefs on ACI and its integration with Docker Swarm, Kubernetes-Flannel, and OpenStack.
- Supervised hiring and mentoring of 28 engineers in Networking, DevOps technologies, Python, and MongoDB.
Network Engineer-Ii
- Built models for anomaly detection in SSD performance for 500+ companies (9000+ switches), saving 3000+ work hours.
- Spearheaded 30+ automation projects to enhance ACI usability with chatbots, log-parsers, low-code, and IaaC platforms.
Network Engineer-I
- Troubleshot Cisco ACI with a focus on RAFT and Linux subprocesses on distributed computing systems.
- Worked on Integration of Docker and Kubernetes services with ACI on cloud services like AWS and Azure.
Network And Automation Engineer - Intern
Colleagues at Scale AI
Other employees you can reach at scale.com. View company contacts for 302 employees →
Daisy Colvin
Colleague at Scale Ai
United States, United States
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DL
David Long
Colleague at Scale Ai
Berkeley, California, United States, United States
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JB
Jonna Bohlin
Colleague at Scale Ai
Gothenburg, Västra Götaland County, Sweden, Sweden
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LJ
Lifeng Jin
Colleague at Scale Ai
Bellevue, Washington, United States, United States
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MS
Mylenna Salles
Colleague at Scale Ai
Corumbá, Mato Grosso Do Sul, Brazil, Brazil
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JC
Jason Choi
Colleague at Scale Ai
San Bruno, California, United States, United States
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RD
Rosie Do
Colleague at Scale Ai
Wellington, Wellington, New Zealand, New Zealand
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BB
Benjamin Buchman
Colleague at Scale Ai
Chapel Hill, North Carolina, United States, United States
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XR
Ximena Regalado León
Colleague at Scale Ai
Tapachula, Chiapas, Mexico, Mexico
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MB
Michael Brook
Colleague at Scale Ai
Newark, Delaware, United States, United States
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Vijay S Kalmath education
Master Of Science - Ms, Data Science, 3.8/4.0
Bachelor Of Engineering, Electronics And Communications Engineering, 9.37/10.0
Frequently asked questions about Vijay S Kalmath
Quick answers generated from the profile data available on this page.
What company does Vijay S Kalmath work for?
Vijay S Kalmath works for Scale AI.
What is Vijay S Kalmath's role at Scale AI?
Vijay S Kalmath is listed as Machine Learning Research Engineer at Scale AI.
What is Vijay S Kalmath's email address?
AeroLeads has found 1 work email signal at @columbia.edu for Vijay S Kalmath at Scale AI.
Where is Vijay S Kalmath based?
Vijay S Kalmath is based in New York, New York, United States while working with Scale AI.
What companies has Vijay S Kalmath worked for?
Vijay S Kalmath has worked for Scale Ai, Lexalytics, An Inmoment Company, Columbia University In The City Of New York, and Cisco.
Who are Vijay S Kalmath's colleagues at Scale AI?
Vijay S Kalmath's colleagues at Scale AI include Daisy Colvin, David Long, Jonna Bohlin, Lifeng Jin, and Mylenna Salles.
How can I contact Vijay S Kalmath?
You can use AeroLeads to view verified contact signals for Vijay S Kalmath at Scale AI, including work email, phone, and LinkedIn data when available.
What schools did Vijay S Kalmath attend?
Vijay S Kalmath holds Master Of Science - Ms, Data Science, 3.8/4.0 from Columbia University In The City Of New York.
What skills is Vijay S Kalmath known for?
Vijay S Kalmath is listed with skills including Artificial Neural Networks, Leadership, Bert, Pandas, R, Distributed Systems, Linux, and Data Science.
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