Ankit Tater

Engineering Manager | AI/ML | Cloud Architecture | Digital Transformation

London, United Kingdom

About Me

Engineering leader with 12+ years of experience in building and scaling high-performance teams across AI/ML, Cloud Architecture, and Digital Transformation.

Passionate about leveraging technology to solve complex business problems and drive innovation. Known for building scalable, secure, and performant systems that deliver business value.

Areas of Expertise

Healthtech Innovation

Regulatory Compliance (SaMD/MDR/HIPAA)

Healthcare Data Architecture

AI/ML in Clinical Applications

High-Performance Engineering

Cloud Security & Compliance

Technical Leadership

Digital Health Transformation

Ask Me About My Experience

Ask a question about my skills, experience, projects, etc:

FAQ

What are your core technical skills?

How do you approach engineering leadership?

What experience do you have with healthcare systems?

Engineering Excellence

Engineering Leadership Philosophy

My approach to engineering leadership is built on creating systems and processes that empower teams to deliver exceptional results while maintaining technical excellence.

Technical Vision & Strategy - Setting clear technical direction and standards while balancing innovation with stability and scalability

People Leadership & Development - Cultivating talent through mentorship, career growth opportunities, and creating psychological safety

Data-Driven Leadership - Making strategic decisions based on metrics, establishing KPIs that align engineering outcomes with business goals

Adaptive Management - Evolving leadership approaches based on team maturity, business context, and organizational needs

Building High-Performance Culture - Fostering excellence through clear expectations, accountability, and recognition of achievements

Business-Technology Alignment - Translating business requirements into technical solutions while managing stakeholder expectations

DORA Metrics Achievements

Improved key engineering performance indicators across teams:

Deployment Frequency

2-3 times per day

↑ 300% in 6 months

Lead Time for Changes

Under 24 hours

↓ 60% reduction

MTTR

< 45 minutes

↓ 75% reduction

Change Failure Rate

< 5%

↓ 70% reduction

OKR Implementation Impact

Strategic alignment through Objectives and Key Results framework:

Engineering Velocity

40% increase in feature delivery while maintaining quality metrics

Technical Debt Reduction

35% reduction in critical technical debt measured through code quality metrics

Team Development

90% team members achieving personal development goals through upskilling initiatives

Customer Satisfaction

25% improvement in NPS scores through engineering-driven product enhancements

Work Experience

Engineering Manager - Healthtech

Huma Therapeutics, London

Jan 2023 - Present

Led cross-functional teams (ML, data, devs) to drive scalable AI-powered SaMD solutions and healthtech innovation.
Architecting Cloud-Native, Regulatory-Compliant Healthtech Systems at Huma
Expanded into new markets with regulatory compliance expertise
Implemented DORA metrics to drive high-performance engineering
OKR-driven, metrics-focused culture to align engineering efforts with business objectives

Engineering Manager - Software Services

Encora Digital Inc., Pune

May 2020 - Dec 2022

Managed multimillion $ budgets, scaled global teams
Agile transformation boosted launch speed 35%
Migrated monolithic applications to microservices, reducing deployment time by 40%
Founded "Knowledge-Sharing Friday", improved collaboration 40%

Co-founder & Technical Lead – Fintech

Wetech Digital, Pune

Jan 2019 - May 2020

Integrated with MoneyHub, Morningstar, optimized speed 30%
Led engineering in regulated financial environments

CTO

iSuraksha Solutions, Pune

Dec 2014 - Jul 2018

Built a cloud-native, scalable IoT platform for a leading automotive manufacturer, enabling real-time data processing and analytics.
Built and scale an engineering team of 10+ developers
Built a system of real-time processing of huge telemetry data from IoT devices

Technical Skills

Programming Languages

Java Python JavaScript TypeScript

Frameworks & Libraries

Django Flask Spring Boot JMeter ReactJS Node.js Express Nest.js Next.js React Native Cordova Ionic

Databases & Data Pipelines

MySQL PostgreSQL MongoDB Redis Cassandra Apache Spark Apache Kafka

Cloud & Infrastructure

AWS EC2 ECS Lambda S3 CloudFormation Azure AKS OpenStack DynamoDB Google App Engine Firebase Google Cloud Functions Digital Ocean

AI & ML Technologies

LLM OpenAI Langchain Hugging Face Clade CrewAI n8n flowise

Microservices & API Design

RESTful APIs gRPC Pub/Sub (Kafka) API Gateway OAuth 2.0 JWT Swagger/OpenAPI Event Driven Systems

Monitoring & Observability

New Relic Prometheus Grafana DataDog App Dynamics PagerDuty Opsgenie SLAs/SLOs

High Performance Systems

High-Throughput Low-Latency Distributed Computing Caching Strategies Load Balancing Connection Pooling

Featured Projects

Healthcare Platform for SaMD

Architected and built a cloud-native, regulatory-compliant SaMD platform for Huma Therapeutics, reducing development time by 50% and improving scalability.

Python Angular Kubernetes Cloud-Native Microservices Performance Monitoring

Microservices Migration

Led a team that migrated a monolithic application to a microservices architecture, reducing deployment time by 40%. Implemented comprehensive performance monitoring with custom dashboards and alerting systems to ensure high availability. Established incident management protocols that reduced MTTR from 5 hours to under 60 minutes.

Kubernetes Docker Azure Java Spring Boot Spring Cloud Microservices API Gateway OpenAPI Kafka RabbitMQ Redis MySQL PostgreSQL High Availability Incident Management

IoT Platform for Telemetry Data

Built a cloud-native, scalable IoT platform for a leading automotive manufacturer, enabling real-time data processing and analytics. Engineered a high-throughput system processing over 1M data points per minute with sophisticated caching strategies and load balancing to ensure consistent performance under peak loads.

Java Node.js Spring Boot Spring Cloud Microservices Kafka RabbitMQ Redis MySQL High-Throughput Performance Optimization

Fintech Integration Platform

Developed a secure platform integrating with financial services APIs including MorningHub, Morningstar, and other financial data providers. Implemented PCI DSS compliance and improved data retrieval speed by 30%.

Java Micronaut OAuth2 Financial APIs

Education

2025

PGP in AI & Machine Learning

University of Texas at Austin

Specialized in deep learning, computer vision, and natural language processing. Completed capstone project on healthcare predictive analytics.

2012

B.E. in Information Technology

JNTU Hyderabad

Graduated with distinction. Final project on distributed systems earned university recognition.