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
- Feb, 2021 - Present4 yr 1 month
Chief Architect
66degrees - Jan, 2021 - Present4 yr 2 months
Head of AI & Engineering
Chryselys - Jan, 2020 - Jan, 20211 yr
Chief Data Scientist
Suyati Technologies / India - Jan, 2014 - Jan, 20206 yr
Principal Data Scientist
Suyati Technologies - Jan, 2014 - Dec, 20195 yr 11 months
MLops Manager
Analytics/Engineering & Data Science - Jan, 2020 - Jan, 20211 yr
Chief Architect
66 Degrees - Jan, 2012 - Dec, 20131 yr 11 months
Team Manager
Metro Trading Company - Jan, 2012 - Jan, 20131 yr
Data Science Manager
EY - Jan, 2011 - Sep, 2011 8 months
Analytics lead
McAfee / India - Jan, 2006 - Jan, 20104 yr
Analytics Manager
Metro Trading Company - Jan, 2010 - Dec, 2010 11 months
Business Analyst
Honda Siel Power Products
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
Chief Architect
66degreesFeb, 2021 - Present4 yr 1 month
- (Cloud Practitioner/Engineering Architect) Architecting solutions on the GCP side, including but not limited to Cloud
- Strategy and vision; building the data science practices, fostering opportunities and devising a penetration strategy within the organization.
- Hiring and mentoring Provide thought leadership and emerging quantitative fields where data science can play a significant role.
- Work collaboratively with senior management to develop strategy and approach to defining business challenges which could be measurably solved through data science.
- Develop and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals
- Acquire and train new talent, maintaining a friendly and collaborative work environment, and develop future managers and leaders
- Leadership and innovation; team management , Devising an ML OPS structure on the GCP AI platform which could be deployed on Kubernetes - creating pipelines which blend various segments of an end-to-end ML pipeline such as ingestion of data, preprocessing and analytics, training, re-training and inference pipelines and then deployment based on artifacts measured through the experiment.
- Google Next '21 - Building effective use cases for the Google Next digital conference - some of which include - occupancy detection, occlusion detection, drive-by restaurants; the idea is to leverage AI and effectively showcase how it fares in an actual setting. The idea here was to drive innovation by putting the capability of the team out there before customers, which had been a phenomenal success
- Catering to complex solutions leveraging image data to develop both cloud native/hybrid solutions which can
- Effectively leverage AI and provide the best insights for our customers. From architecture to deployment, it's an intricate blend of resourcing, timelines and budget - trying to devise the better approach within objective constraints
Head of AI & Engineering
ChryselysJan, 2021 - Present4 yr 2 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 Data Scientist
Suyati Technologies / IndiaJan, 2020 - Jan, 20211 yr
- Building the Data practice from scratch
- Leading the entire Data Science operations within the CTO team
- Attending sales pitch calls to ensure/aid conversion of possible leads
- Presales & business development; value proposition
- Leadership, mentoring and training resources
- Engineering best practices within Public Cloud
- Handling key accounts in the data science space - improving legacy systems with history based models
- GIT versioning system, CI/CD pipelines using Docker
- Helping restructure businesses of today with scalable AI solutions
- Domains worked : [Chatbots] AI chatbots using LSTM, Google BERT, Wavenet, MELGANs, WaveRNN, GANs and Unets, Speech and audio spectral analysis using FFTs,
- [NLP] Question - Answering, Next sentence prediction
- [Recommendation models] Matrix Factorization, Two Tower models
- [Time Series analysis] ARIMA, ARIMAX, Prophet, AR, MA
- Sentiment Analysis, Conversion rate prediction
- Power Bi dashboards, Spark ML, Pytorch models, ANN
- Bayesian optimization - PYMC3
- Social media analytics
- Mining and optimization
- Anomaly detection
- MLops
Chief Architect
66 DegreesJan, 2020 - Jan, 20211 yr
Architected GCP solutions, built ML pipelines, led innovations like occupancy detection, fostered data science practices, mentored teams, and drove impactful AI-driven customer insights.
MLops Manager
Analytics/Engineering & Data ScienceJan, 2014 - Dec, 20195 yr 11 months
- Use of Machine Learning models/Predictive models to bring in process improvement measures.
- Regression models/ Statistical techniques to help determine dependent variables for the various data streams received.
- Data Analytics using Python/Numpy - Exploratory analysis, honing insights out of data, Deep Learning concepts - up to date on the latest emerging trends in the market - BERT, ELMO.
- Text classification using machine learning models - with an accuracy of 83%. Historic data assessment, forecasting the revenue estimates towards the future.
- Business Transformation Financial Statements and Tax reforms MENA.
- Financial Modelling of the Tax revenue spread across the various sectors. Helping deduce Data models and percentage increase/loss of revenue within the Service
- Created an entire workflow model for the HR, Hiring, on-boarding, and attrition based on matrices of Saudization, expatriate model - transferred this model to a dashboard, which helps dynamically assess marginal growth quarterly as well as annually. Devised templated Financial Statement, a completely automated template which helped record as well as tabulate individual client data into reports.
- Data analytics - cleansing and preparation of data, including but not limited to maintenance of databases, SQL and Mysql.
- Worked on several reconciliation projects, including - Foreign Purchases and inventory tracking. Assisted in setting up a structure for Tax returns in Saudi Arabia
- This templated automation helped structure the entire process. Data visualization using Power BI, Tableau, Spotfire
- Sharepoint Development using Sharepoint developer, Jquery and Javascript Developing strategies to better reform methodologies. Database architecture and restructuring of the Entire Foreign Purchases process.
Principal Data Scientist
Suyati TechnologiesJan, 2014 - Jan, 20206 yr
Built data science practice, led AI projects (chatbots, NLP, recommendations), enhanced legacy systems, enabled presales, and developed MLops pipelines for scalable AI solutions.
Team Manager
Metro Trading CompanyJan, 2012 - Dec, 20131 yr 11 months
- Technical assistance and project management.
- Forecasting through standard statistical measures
- Helped setup a web server interface which ran ASP.NET as code behind and Jquery, Javascript as the interface
- Pipeline and sales reports for the various commodities
- Dashboards for the clients
- Introduced an Excel based tracking system for the inventory, shipped/received.
- Monitoring overall progress and use of resources.
- Reporting through agreed lines on projects through highlight reports and assessments
- Financial modelling, and risk assessment
- Forecasting and planning
- Identifying bottlenecks within the various material inventories and minimising it
- Database architecture and design, to help a one-space repository for all data
- Life cycle management & Resource allocation
- Helped devise a systemic flow channel from inventory to allocation for goods shipped/received
- Created a workflow mechanism which helped track the status of the shipment.
Data Science Manager
EYJan, 2012 - Jan, 20131 yr
Led ML and predictive analytics for process improvements, automated workflows, managed large datasets, implemented financial models, and developed interactive dashboards.
Analytics lead
McAfee / IndiaJan, 2011 - Sep, 2011 8 months
- Worked as part of the Tier 2 support & Data analytics team
- Supported the clientele needs ranging from queries to complaints.
- Supported both APAC and EMEIA regions
- Analytics reports using VBA and Python
- Utilization reporting; Process improvement
- Handling entire region of EMEIA & APAC.
Business Analyst
Honda Siel Power ProductsJan, 2010 - Dec, 2010 11 months
- Financial Analysis/Historic analysis of growth patterns
- Planning and monitoring of key deliverable
- Client relations
- Driving customer-centric business
- Handling various expense queries and maintaining inventory
- Introduced checklist to track changes
- Preparing and maintaining project, stage and exception plans for inventory
- MIS & Reporting
Analytics Manager
Metro Trading CompanyJan, 2006 - Jan, 20104 yr
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 10 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