Sr. Staff Engineer · Cary, NC (RTP)

Data infra,
cloud systems &
real outcomes

10+ years building large-scale data infrastructure and cloud platforms across healthcare, fintech, banking, and insurance — with deep expertise in Amazon Connect, PCI-DSS/HIPAA compliance, and AI/ML integration.

AWS GCP Azure Amazon Connect Terraform Spark Airflow Databricks Python PCI-DSS · HIPAA
~/soletechie — zsh
❯ whoami Lokesh Adusumalli · Sr. Staff Engineer # Cary, NC · RTP · 10+ yrs experience   ❯ cat expertise.yml domains:   - aws # cloud infra · Amazon Connect   - data-engineering # ETL · big data   - compliance # PCI-DSS · HIPAA   - ai-ml # Bedrock · integrations industries: healthcare · fintech · banking · insurance iac: terraform   ❯ git log --oneline -3 f7e21b9 Notes: don't ship skills without evals b40c6e3 All about voice detection 9d15a2f The Voice Stack, parts 1–3   ❯
01

Articles & Deep Dives

Notes: Don’t Ship Skills Without Evals

Takeaways from Philipp Schmid’s talk — write 5 real cases, strip no-ops, run ablation tests, and 10 best practices for evaluating agent skills (plus how DeepMind gates skill PRs on measured lift).

All About Voice Detection

Authentication vs. deepfake detection — how voice-clone fraud actually happens, the scale of the losses, the five-layer detection stack, and how contact center platforms are responding.

How Do Machines Hear Us?

Recognizers slice audio into fingerprints, match them against learned prototypes by dot product, and drift into errors when reality moves off the manifold — while softmax keeps them sounding sure.

The Voice Stack (Part 3): Follow the Money

8 VC firms, billions of dollars, one category. What the capital flows reveal about where voice AI value will land — and which layers nobody is funding yet.

The Voice Stack (Part 2): Who’s Building the Stack?

A layer-by-layer breakdown of every major player — foundation models, real-time infra, vertical agents, and QA — what they actually do, how they differentiate, and who’s winning.

The Voice Stack (Part 1): The $2.1B Wake-Up Call

Why voice AI is the biggest platform shift since mobile — what changed in 2024, the four-layer stack, and why “just add voice” is a trap.

02

Projects & Research

⚙️
SoleTechie ETL Framework
Modular, reusable ETL framework built in Python + Airflow that abstracts connector logic for 10+ data sources. Deployed across AWS Glue and self-managed EMR clusters with pluggable schema validation.
Python Airflow AWS Glue EMR S3
● Active
📊
Amazon Connect Analytics Dashboard
Full CTR pipeline from Kinesis → Firehose → S3 → Athena, with a QuickSight dashboard surfacing real-time contact center KPIs — agent metrics, queue performance, and SLA tracking. Documented in the blog.
AWS Connect QuickSight Athena Kinesis Lambda
✓ Complete
🔬
Multi-Cloud Cost Attribution Research
Investigating tagging strategies, showback models, and FinOps patterns for enterprises running workloads simultaneously across AWS, GCP, and Azure. Working toward a full published writeup.
FinOps AWS Cost Explorer BigQuery Azure Cost Mgmt
● Active
🏗️
Terraform Module Library
A collection of battle-tested, enterprise-grade Terraform modules covering networking, compute, data, and observability layers — built to the encapsulation and privilege boundary principles covered in the blog.
Terraform AWS VPC IAM CloudWatch RDS
● Active
03

Certifications & Skills

☁️
Amazon Web Services
Amazon Web Services AI Practitioner
Aug 2024Verified
☁️
Amazon Web Services
AWS Certified Solutions Architect – Associate
Feb 2020 Verified
☁️
Amazon Web Services
AWS Certified Solutions Architect – Professional
Aug 2020 Verified
🏗️
HashiCorp
Terraform Associate (003)
Apr 2023 Verified
Cloud Platforms
AWS
92%
Azure
76%
GCP
65%
Data Engineering
ETL / Pipelines
91%
Spark / EMR
83%
Databricks
70%
Infrastructure & Code
Terraform
88%
Python
86%
CI/CD (GitLab)
80%
Docker
73%
04

About Me

🧑‍💻
role: Sr. Staff Engineer
location: Cary, NC · RTP
exp: 10+ years
focus: cloud · data · AI/ML
writing: soletechie.com
Lokesh Adusumalli
// Sr. Staff Engineer · Cloud Architect · Data Infrastructure

Senior Staff Engineer with 10+ years building large-scale data infrastructure across healthcare, fintech, banking, and insurance. I specialize in cloud architecture, ETL systems, and contact center platforms — with a focus on delivering outcomes that actually move the needle, not just shipping code.

Beyond the technical work, I'm invested in growing engineering teams — mentoring engineers, raising the bar on architectural thinking, and helping organizations make better decisions with their data. Research and continuous learning are non-negotiable parts of how I operate.

This site is where I write about the work: deep dives into AWS and multi-cloud architecture, IaC patterns, data engineering at scale, and whatever I'm actively researching or building. If something took me time to figure out, it probably belongs here.