Amith K A
Vetted Talent
Amith K A
Vetted Talent
Amith KA is a seasoned professional with 14.5 years of expertise in leadership, management, and a comprehensive skill set spanning data engineering, data science, and systems design. Proficient in engineering best practices, data architecture, and cloud platforms such as GCP, AWS, and AZURE, Amith excels in full-stack development and employs tools like Terraform for efficient infrastructure management. With proficiency in Python, TensorFlow, PyTorch, and BigQuery, Amith is a specialist in machine learning, deep learning, MLOPS, and Kubernetes. Additionally, expertise in areas like NLP, computer vision, and generative AI, along with a strong background in security and Docker, further underscores Amith's impact in the industry.
- Role
Technical Manager (Engineer - ML/AI)
- Years of Experience
17 years
- Professional Portfolio
View here
Skillsets
- Kafka - 2 Years
- ML - 13 Years
- Python - 13 Years
- TensorFlow - 2.5 Years
- Pytorch - 3 Years
- Sharepoint - 5 Years
- Data Science - 7 Years
- Architect - 3 Years
- Cloud - 7 Years
- Git - 5 Years
- NLP - 5 Years
- Data Analytics - 5 Years
- LLM - 2 Years
- Power BI - 3 Years
- SQL - 3 Years
- Numpy - 1 Years
- Building high performance teams
- Delivery
- Gen AI
- Innovation & automation
- public cloud
- Strategic Planning and Execution
- Risk management & qa
- Presales/ account management
- MicroServices - 5 Years
- Mean Stack - 2 Years
- Infrastructure as Code (IaC) tools - 6 Years
- Leadership & Team Scaling - 12 Years
- SaaS/PaaS Platform - 8 Years
- AU or UK market - 5 Years
- SAS - 5 Years
- Machine Learning - 12 Years
- Deep Learning - 8 Years
- Deep Learning - 8 Years
- GCP - 9 Years
- GCP - 9 Years
- Azure - 3 Years
- Spark - 2 Years
- Data Warehousing - 3 Years
- Web Development - 7 Years
- AWS - 8 Years
- LLMs - 6 Years
- Terraform - 2 Years
- MySQL - 3 Years
- AI - 2 Years
- Machine Learning - 12 Years
- System Design - 3 Years
- Kubernetes - 4 Years
- Leadership - 12 Years
- Pyspark - 3 Years
- Docker - 6 Years
- Project management - 2 Years
- Data Modelling - 5 Years
- Market Research - 3 Years
- Business Analyst - 1 Years
- MLOps - 7 Years
- CI/CD - 7 Years
- JavaScript - 3 Years
- JQuery - 5 Years
- FullStack - 3 Years
Vetted For
18Skills
- Roles & Skills
- Results
- Details
Senior Generative AI EngineerAI Screening- 69%
- Skills assessed :BERT, Collaboration, Data Engineering, Excellent Communication, GNN, GPT-2, graphs, Large Language Models, Natural Language Processing, Sagemaker, Deep Learning, neural network architectures, Pytorch, TensorFlow, Machine Learning, Problem Solving Attitude, Python, Vertex AI
- Score: 69/100
Professional Summary
17Years
- Jan, 2021 - Present4 yr 3 months
Head of AI & Engineering
Chryselys - Jan, 2020 - Dec, 20211 yr 11 months
Chief Architect
66 Degrees - Jan, 2014 - Dec, 20206 yr 11 months
Principal Data Scientist
Suyati Technologies - Jan, 2006 - Dec, 20104 yr 11 months
Analytics Manager
Metro Trading Company - Jan, 2012 - Dec, 20131 yr 11 months
Data Science Manager
EY
Applications & Tools Known
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Kubeflow
Tensorflow
AWS (Amazon Web Services)
Azure
Google Cloud Platform
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Docker
Kubernetes
Google Cloud Platform (GCP)
AWS
Terraform
CI/CD pipelines
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Jenkins
Python
pandas
scikit-learn
Keras
PyTorch
Snowflake
BigQuery
Redshift
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Informatica
MySQL
SQL
SSIS
Pyspark
Quicksight
Looker
Power BI
Tableau
Spotfire
UiPath
Blue Prism
VBA
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Word
Outlook
VB.NET
Node.js
HTML
CSS
Work History
17Years
Head of AI & Engineering
ChryselysJan, 2021 - Present4 yr 3 months
Building the Engineering and AI footprint for Chryselys. Focus areas include Generative AI; Hybrid RAG; Multimodal output generation, MLOps, building high performant inference systems at scale.
Chief Architect
66 DegreesJan, 2020 - Dec, 20211 yr 11 months
Architected GCP solutions, built ML pipelines, led innovations like occupancy detection, fostered data science practices, mentored teams, and drove impactful AI-driven customer insights.
Principal Data Scientist
Suyati TechnologiesJan, 2014 - Dec, 20206 yr 11 months
Built data science practice, led AI projects (chatbots, NLP, recommendations), enhanced legacy systems, enabled presales, and developed MLops pipelines for scalable AI solutions.
Data Science Manager
EYJan, 2012 - Dec, 20131 yr 11 months
Led ML and predictive analytics for process improvements, automated workflows, managed large datasets, implemented financial models, and developed interactive dashboards.
Analytics Manager
Metro Trading CompanyJan, 2006 - Dec, 20104 yr 11 months
Managed inventory workflows, designed dashboards, forecasted trends, optimized resources, and streamlined shipment tracking through database and financial model improvements.
Achievements
- Turbo Master Award (Q2 2018, EY)
- Lean Six Sigma White Belt
Major Projects
8Projects
\x0c(Domain: Manufacturing) Recommendation
May, 2023 - Present1 yr 11 months
- Intelligent embedding search for product recommendations
- Bringing together best Engineering practices to help define a self evolving workflow, which is capable of adjusting to new manufactured parts.
- Training them and recommending them to users on a large scale.
- A vector based embedding search mechanism was incorporated which helped end users click a picture, upload it and get same parts
- If not similar part (based on availability and recommendation)
- A fully definitive retraining pipeline (MLOPS) which was curated to the evolving business need customized for deployment on serverless or kubernetes based on the scenario
AIVY Generative AI for Pharma Solutions
Developed AIVY, a cutting-edge Generative AI product using RAG and Hybrid RAG for high-performance retrieval with citations and stack tracing. Key features include feedback loops, active learning, consensus meters, multimodal input/output, dynamic PPT generation, and integration of structured and unstructured data. Enabled dynamic insights, efficient document synthesis, and multimodal visualization for pharma applications.
Recommendation AI
Created a self-evolving recommendation workflow using vector-based embedding search for product recommendations. Enabled users to upload product images for identifying matching or similar parts. Designed an MLOps-based retraining pipeline, ensuring adaptability to new parts, with deployment options for serverless or Kubernetes environments.
Contact Center AI
Designed an intelligent conversational platform using Dialogflow CX. Architected the flow for automating contact centers, integrating NLU models capable of learning from user interactions. Ensured secure and scalable deployment, enabling actionable insights through optimized conversational data handling.
Retail Analytics
Revolutionized retail operations with object detection (YOLOv5/Custom Models) and customer segmentation models. Delivered actionable insights for inventory optimization, planogram adherence, and audience measurement. Enhanced supermarket operations with analytics for aisle/shelf compliance and stock reordering, driving efficiency and customer satisfaction.
Maximizing Output
Optimized mining operations through prescriptive generative models combined with Bayesian optimization and regression techniques. Used Kafka streams to process continuous data, maximizing mill throughput while addressing dynamic operational challenges.
(Domain: Industry/Mining) Maximizing output
Oct, 2022 - Feb, 2023 4 months
- Mining operations using MLOPS.
- Maximizing the throughout of the entire mill by using generative prescriptive models, with a combination of regression techniques as well as Bayesian optimization/Multi Arm bandit approach on a continuous streaming data through KAFKA streams.
- Ownership: End to end. From discovery, to architecture - solutioning, prototyping, feedback, deployment and post-deployment maintenance of solutions - both product as well as services. Other areas - POCs - User case studies, optimizing legacy solutions with a refined, data driven approach.
- Vision and Strategy : Better utilization of workforce and resource, strategizing; identifying the high impact areas and driving best practices forward.
- Setting up milestones towards the collective vision; identifying areas of focus and spearheading research and innovation.
Contact Center AI Intelligent Conversational platform
May, 2021 - Sep, 20221 yr 4 months
- Intelligent Conversational platform Dialogflow CX Engineering the Contact Center implementation through Engineering and security best practices.
- Contact center automation being a challenging area for most customer centric organizations is a an arduous task, both architecting and maintaining the flow.
- This engagement helped us design a conversational AI engine, which was capable of gathering/storing user data and responding to them with actionable insights.
- Designing/Architecting the entire Contact Center flow of conversation and mapping them to an NLU model that's capable of learning and updating based on cues and constructs
Education
Bachelor of Science (BS)
SCMS School of Engineering & Technology (2023)Automobile Engineering
SCMS School of Engineering (2010)12th Grade
BVM (2006)
Certifications
Power BI certified Udemy - Use of advanced queries using DAX - reporting and modelling dashboards.
Lean six sigma white belt