Open to engineering leadership roles

Engineering leadership · AI and data platforms · Distributed systems

Utkarsh Mankad

I’m Utkarsh Mankad.
I build teams and platforms for scale.

I lead engineering teams through the difficult middle: turning an ambitious product goal into a system that works reliably, and an organisation that can keep improving it.

EXP_YRS16
ENGINEERS_LED20
TEAMS_BUILT04
MERCHANTS_SERVED5M+

01Experience

What I’ve led—and what changed.

01

Oracle

Engineering Manager · AI Data Platform

Led a nine-engineer connectivity pod delivering 14 production ingestion connectors for Oracle 23ai, establishing the VECTOR and JSON CRUD foundation, cutting read latency 70% through Spark pushdown, and securing FIPS 140-3 certification.

  • 14 production connectors
  • 70% lower read latency
  • 85%+ test coverage
  • FIPS 140-3 certified
Technology
  • Oracle 23ai
  • Apache Spark
  • Java
  • Python
  • Scala
  • OCI
  • Kubernetes
  • Docker
  • Snowflake
  • Salesforce
  • Grafana
02

Fynd · Reliance Industries

Engineering Manager · Platform & Integrations

Built and led the 20-engineer organisation behind Metro B2B and Ajio B2B, migrating JioMart Partners with zero downtime and architecting the CDC pipeline that powered live commerce analytics and AI product recommendations.

  • Team scaled 5 → 20
  • 5M+ active merchants
  • 3M+ SKUs
  • Zero-downtime migration
Technology
  • MongoDB
  • Kafka
  • Debezium
  • Delta Lake
  • Medallion Architecture
  • Java
  • Node.js
  • React
  • AWS
  • Kubernetes
  • Docker
  • Redis
  • Elasticsearch
  • Jenkins
  • Helm
  • Grafana
  • Coralogix
  • New Relic
  • Sentry
  • PagerDuty
  • OpenTelemetry
03

CDAC · Government of India

SDE 2 → SDE 3 → Architect → Engineering Manager

Progressed from individual contributor to technical architect and engineering manager, ultimately leading 12 engineers across IoT and AR at India’s national government R&D institute. Owned a ₹300 Cr+ programme portfolio and delivered public systems spanning smart water infrastructure, COVID monitoring, education, mobility, Smart Cities, and identity verification.

  • 12-engineer organisation
  • ₹300 Cr+ portfolio
  • 10+ public products
  • 1.2M+ app downloads
  • 8,000 IoT sensors
  • 4-state COVID deployment
Technology
  • Java
  • Android SDK
  • Node.js
  • Angular
  • React
  • IoT Data Pipelines

02Products

Platforms and public systems I helped bring to life.

03Independent work

Tools I built to solve problems I know firsthand.

05Writing

Notes from building data, AI, and delivery systems.

AI Systems / RAG

JobSnob: Building Fast AI and RAG JD Screening Pipelines

How a two-speed AI and RAG architecture replaced per-job LLM calls with cached semantic context and deterministic local scoring—cutting screening latency while preserving explainable results.

Read the article ↗
DevOps / Reliability

Automated Canary Deployments: Strategies for Safer Software Releases

A practical guide to progressive delivery, metric-driven promotion, automated rollback, and safer production releases.

Read the article ↗
Data Engineering

Unlocking the Power of Big Data: Understanding the Architecture of Spark Connectors

An architectural walkthrough of how Spark connectors bridge distributed applications and diverse external data sources.

Read the article ↗

06Leadership

How I lead teams and work with stakeholders.

I make ownership explicit, keep technical decisions close to the people doing the work, and give executives a clear view of trade-offs. My job is to create enough direction for teams to move independently without losing sight of the outcome.

  • 01Organisation design
  • 02Executive stakeholder management
  • 03Budget & portfolio ownership
  • 04OKR & goal setting
  • 05Cross-functional programme delivery
  • 06Hiring & talent development
  • 07Performance management
A useful plan should make the next decision easier—not merely make the status meeting shorter.

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