profile-pic

Amith K A

Amith K A

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

    14.5 years

Skillsets

  • Sharepoint - 5 Years
  • Business Analyst - 1 Years
  • MLOps - 7 Years
  • CI/CD - 7 Years
  • JavaScript - 3 Years
  • JQuery - 5 Years
  • FullStack - 3 Years
  • Numpy - 1 Years
  • ML - 13 Years
  • Python - 13 Years
  • TensorFlow - 2.5 Years
  • Pytorch - 3 Years
  • Market Research - 3 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
  • Kafka - 2 Years
  • Terraform - 2 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 - 4 Years
  • LLMs - 6 Years
  • Machine Learning - 12 Years
  • MySQL - 3 Years
  • AI - 2 Years
  • SAS - 5 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

Professional Summary

14.5Years
  • Feb, 2021 - Present3 yr 7 months

    Chief Architect

    66degrees
  • Jan, 2020 - Jan, 20211 yr

    Chief Data Scientist

    Suyati Technologies / India
  • Jan, 2014 - Dec, 20195 yr 11 months

    MLops Manager

    Analytics/Engineering & Data Science
  • Jan, 2010 - Dec, 2010 11 months

    Business Analyst

    Honda Siel Power Products
  • Jan, 2011 - Sep, 2011 8 months

    Analytics lead

    McAfee / India
  • Jan, 2012 - Dec, 20131 yr 11 months

    Team Manager

    Metro Trading Company

Applications & Tools Known

  • icon-tool

    Kubeflow

  • icon-tool

    Tensorflow

  • icon-tool

    AWS (Amazon Web Services)

  • icon-tool

    Azure

  • icon-tool

    Google Cloud Platform

  • icon-tool

    Docker

  • icon-tool

    Kubernetes

Work History

14.5Years

Chief Architect

66degrees
Feb, 2021 - Present3 yr 7 months
    • (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

Chief Data Scientist

Suyati Technologies / India
Jan, 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

MLops Manager

Analytics/Engineering & Data Science
Jan, 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.

Team Manager

Metro Trading Company
Jan, 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.

Analytics lead

McAfee / India
Jan, 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 Products
Jan, 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

Major Projects

3Projects

\x0c(Domain: Manufacturing) Recommendation

May, 2023 - Present1 yr 4 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

(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)

Certifications

  • Power BI certified Udemy - Use of advanced queries using DAX - reporting and modelling dashboards.