// Lead Software Engineer

Aakash
T M

Architect · Distributed systems · AI-native builder

7 years building production systems at the intersection of distributed infrastructure, data engineering, and AI. I stay 50–60% hands-on in every leadership role — because you can't lead engineers well if you've lost touch with the craft.

View projects → Get in touch

AWS Technology Partner AWS Technical Accredited AWS Sales Accredited Auckland, NZ

16K messages/sec sustained IoT throughput

56% AWS cost reduction via platform re-arch

6w→10d dev timeline compressed with AI tooling

13 engineers led in critical project recovery

About

I started as a full-stack engineer but curiosity kept pulling me further — multiple frameworks, cloud platforms, I even published my own npm package. One of the best detours was falling into cybersecurity. It completely changed how I design systems.

Security isn't something I bolt on at the end — it's how I think from the first design conversation. That mindset has proven its worth more than once, including leading the response to a critical malicious attack on a live ecommerce platform and driving a full SOC2 compliance initiative.

By year three I was the youngest on a four-person core team setting technical direction across an entire organisation — leading AWS adoption, DevSecOps practices, and engineering standards. I also founded and ran Nullcast, a developer community where I mentored engineers and ran bi-monthly technical sessions.

I stay 50–60% hands-on even in senior leadership roles because you can't lead engineers well if you've lost touch with the craft.

AWARD Leadership Award 2021 — pulled a critical product back from the edge, mentored junior engineers through full lifecycle, helped the product scale and acquire paying customers

TEAM Led a tiger team of 13 engineers to resurrect and deliver a collapsing enterprise project under high pressure

COMMUNITY Founded Nullcast developer community — organised bi-monthly technical sessions, mentored engineers, drove cross-community knowledge sharing

AWS Spearheaded NeoITO's AWS Partnership Alliance — reduced organisation-wide AWS costs by $1,500/year

"I cannot emphasize how critical his support has been — to the point where I felt he had as much ownership as I did. He takes ambiguity in stride, tuning into what is important and discarding the rest. Whoever has the benefit of working with Aakash is very lucky indeed. A top, top engineer, architect, and product mind."

— CPTO, HeadCoach
Working relationship since late 2023

Core competencies

Languages

TypeScript / JavaScript
Python
Go
SQL

Frontend

React / Next.js
Vue.js / Nuxt.js
WebSockets / real-time
Micro frontends

Backend

Node.js / NestJS / Fastify
FastAPI / FeathersJS
Kafka / RabbitMQ / SQS
Domain-driven design

Cloud & DevOps

AWS (depth — 10+ services)
Terraform / Serverless
Docker / CI/CD pipelines
Cloudflare WAF / CDN

Data engineering

PostgreSQL / TimescaleDB
Snowflake / BigQuery
dbt / AWS Glue / EMR
Redshift / DynamoDB

AI & LLM

OpenAI / Claude
RAG pipelines
Agentic workflows
MCP servers / Cursor

Experience

2025 — Present

Expedite Commerce

Lead Technologist

Architected a fully LLM-native sales intelligence engine — automating deep research on CRM accounts and contacts, mapping meetings and emails to Salesforce opportunities in real time, and integrating automated meeting bots for post-call insights. Designed fault-tolerant ingestion pipelines across Salesforce, Gmail, and calendar integrations. Identified and remediated critical security vulnerabilities across the stack.

↗ Rewrote a legacy Salesforce integration using AI-assisted tooling — compressed a 6-week timeline to 10 days

Node.jsPythonGoVue.jsAWSLLMRAGSalesforce

2024

ISPG Technologies

Technical Architect

Led DevSecOps response to a critical security incident — implemented comprehensive security measures across the organisation and drove SOC2 compliance initiative. Engineered a customer segmentation engine and high-performance mass notification system supporting push, email, and SMS at scale. Built ETL pipelines integrating recall campaign data from Keyloop via ODBC.

↗ Reduced AWS infrastructure costs by 56% ($4,500 → under $2,000/month) through platform re-architecture

ReactNestJSPostgreSQLAWSDevSecOpsSOC2

2019 — 2024

NeoITO Technologies

Solutions Architect → Tech Lead

Progressed from engineer to Solutions Architect within 3 years. Youngest member of a four-person core team setting technical direction across the entire organisation. Spearheaded the AWS Partnership Alliance. Mentored 8 engineers who stayed for 3 years. Won Leadership Award 2021 for pulling a critical product back from the edge. Led a tiger team of 13 engineers to resurrect and deliver a failing enterprise project. Delivered 10+ client projects spanning BI platforms, IoT infrastructure, data engineering, fintech, and community platforms.

↗ Reduced AWS billing by 52% ($2,500 → $1,200/month) on enterprise analytics platform

ReactNode.jsPythonGoAWSKafkaTerraformSnowflakedbt

Featured projects

01 — FEATURED

TelemetryFlow

Production-grade IoT telemetry pipeline ingesting high-frequency sensor data from 2,000 devices at 16,000 messages/second. Built in Go with Kafka, TimescaleDB, and Confluent Schema Registry. Four independently scalable services — simulator, ingestor, stream processor, and sink — each with DLQ, graceful shutdown, and idempotent writes. Per-device ordering guaranteed end-to-end. Sub-500ms ingest latency, ~10ms stream processing latency.

↗ Go · Kafka · TimescaleDB · PostgreSQL · Confluent Schema Registry · Avro

2,000 devices × 8 msg/s = 16,000 msg/s sustained At-least-once delivery with idempotent writes — zero silent data loss Sub-500ms ingest into TimescaleDB hypertables ~10ms processing latency through stream processor Horizontal scale to 12 instances per service Graceful degradation on DB outage — pipeline never goes down 4 anomaly detection rules with dedup and alert audit trail Cooperative sticky rebalancing — zero partition pause on scale

Marketing Intelligence Platform

End-to-end marketing analytics platform integrating Google, Bing, Facebook, TikTok ad data, GA4, AppsFlyer, and internal app databases into a unified Snowflake data warehouse. Built for both B2C and B2B products. Multi-touch attribution, ad fatigue detection, predictive LTV modelling, and real-time performance dashboards via Omni Analytics. Reduced monthly AWS billing by 52%.

↗ Snowflake · dbt · BigQuery · Omni Analytics · Python · AppsFlyer · GA4

Dashprophet / Cruzstreet

Enterprise-grade BI and data analytics platform built on AWS serverless microservices. Multi-tenant architecture with React client, Python ETL pipelines, AWS Glue, Redshift, and QuickSight. Integrated with AWS Marketplace generating direct business leads. Owned end-to-end from architecture through team delivery.

↗ React · Node.js · Python · AWS Glue · Redshift · QuickSight · Lambda

AI-Native Sales Platform

LLM-native intelligence engine automating deep research on CRM accounts and contacts. Fault-tolerant bidirectional sync across Salesforce, Gmail, and calendar integrations. Automated meeting bot integration delivering real-time post-call insights and strategic deep-dives to sales teams. Rewrote core Salesforce integration using AI-assisted development — 6 weeks compressed to 10 days.

↗ Node.js · Python · Go · Vue.js · AWS · OpenAI · Salesforce · RAG

AakashT M