United States · Open to Senior Full-Stack Engineer roles

Building the systems behind faster, smarter operations.

I build high-scale systems where APIs, data pipelines, analytics, and applied AI meet real operational impact.

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Aditya Anand Patil near the Golden Gate Bridge

Aditya Anand Patil

Senior Full-Stack Engineer building high-scale systems in the United States.

7.5M+
wireless assets normalized
48M+
biomedical publications indexed
100GB+
GPU telemetry processed daily
94%
network inventory accuracy reached
5+
years engineering production systems

Recruiter read

A full-stack engineer who thinks in systems, data, and ownership.

Senior Software Engineer with 5+ years of experience building scalable backend systems, data pipelines, real-time analytics platforms, and production-ready full-stack products across telecom, healthcare, infrastructure, and ecommerce. The through-line is not a single framework. It is the ability to take messy, high-volume operational data and turn it into reliable, production-ready systems that teams can trust.

From telecom topology graphs to GPU telemetry, biomedical search, and ecommerce logistics, Aditya has repeatedly worked where product experience depends on backend correctness, data quality, and measurable system performance.

Breaks down ambiguous, client-facing problems into production systems
Owns the full path from ingestion to API design to analytics UI
Improves accuracy, latency, reliability, and operational throughput at scale
Works comfortably across telecom, healthcare, infrastructure, and ecommerce domains

Experience

Impact-focused work across infrastructure, healthcare, and operations.

Nov 2024 - Present

Verizon

Senior Software Engineer

Leading client-facing network inventory, provisioning, and topology systems for large-scale U.S. telecom infrastructure.

PythonApache AirflowReactFlaskTypeScriptNode.jsApigeePostgreSQLNeo4jJavaSpring BootMongoDB
  • Led development of a large-scale network inventory system processing 7.5M+ wireless assets across U.S. telecom networks from Ericsson, Nokia, and Cisco equipment.
  • Designed Python and Apache Airflow ETL pipelines to ingest and reconcile high-volume network asset data for supply chain operations.
  • Built Flask APIs and a React analytics dashboard with automated testing, improving inventory accuracy from 65% to 94%.
  • Built enterprise REST APIs with TypeScript, Node.js, and Apigee, processing 3M+ topology records for dependency analysis and proactive failure detection.
  • Led migration from legacy Granite and PostgreSQL systems to Neo4j, enabling graph-based network assurance and improving complex query performance by 30%.
  • Developed Java/Spring Boot and MongoDB services for template-driven telecom provisioning across RF, network, and IP engineering workflows.

Jan 2023 - May 2024

State University of New York

Software Engineer (Research)

Built data and ML pipelines for large-scale analysis of conversational AI interaction datasets.

PythonScikit-learnGensimData PipelinesTopic ModelingSentiment Analysis
  • Engineered scalable pipelines to process and transform 1M+ ChatGPT interaction records for structured research analysis.
  • Built sentiment analysis and topic modeling pipelines with Scikit-learn and Gensim.
  • Achieved 87% model accuracy and automated insight extraction from high-volume user interaction data.

May 2023 - Aug 2023

Nvidia

Software Engineer Intern

Built real-time GPU observability products that made thermal performance easier to detect, understand, and act on.

PythonKafkaDjango REST FrameworkReactD3.jsTelemetry
  • Integrated a third-party C/C++ agent into Python and Kafka ingestion systems.
  • Processed 100GB+ of streaming performance data daily.
  • Delivered Django REST APIs and React/D3 dashboards for near real-time GPU thermal monitoring.
  • Improved issue detection by 40% and reduced overheating incidents by 35%.

Jan 2022 - Aug 2022

Brillio | Client: Cartus

Senior Engineer

Led backend and testing work for a global relocation workflow platform used across multiple regions.

Node.jsExpressPostgreSQLJestMochaChaiTDD
  • Built microservices with Node.js, Express, and PostgreSQL to support global employee relocation workflows.
  • Integrated third-party services and improved administrative processing efficiency by 15%.
  • Designed a Jest, Mocha, and Chai testing framework following TDD principles, achieving 90% unit test coverage and reducing production defects.

Jan 2020 - Jan 2022

Innoplexus

Senior Backend Engineer

Scaled AI-driven biomedical discovery systems used by researchers to search, connect, and act on clinical evidence.

Node.jsPythongRPCElasticsearchMongoDBRedisMicroservices
  • Led backend development for Ontosight, aggregating 48M+ publications and 830K+ clinical trials.
  • Delivered a COVID-19 data integration platform for Parexel used by 200+ global researchers.
  • Migrated services from monolith to distributed Python, Node.js, and gRPC architecture, improving API performance by 60%.
  • Reduced Elasticsearch response times by 50% and database load by 35% through indexing and Redis caching.

Nov 2018 - Jan 2020

Firstcry.com

Software Engineer

Automated high-volume ecommerce content and reverse logistics workflows for operational speed and reliability.

PythonShellNode.jsVue.jsAWS LambdaDynamoDBSQS
  • Processed 100K+ product images monthly through Python, Shell, FTP, and SMB automation.
  • Improved content publishing efficiency by 70%.
  • Built reverse logistics workflows with Node.js, Vue.js, and AWS services.
  • Reduced return and exchange processing time by 30%.

Selected case studies

Projects framed around problem, architecture, and measurable business value.

Verizon

Network Inventory Intelligence Platform

Problem

Telecom inventory data was fragmented across vendor systems and legacy relational sources, making dependency analysis and proactive failure detection difficult.

Approach

Built Airflow-powered ETL and reconciliation pipelines, Flask and Node APIs, a React analytics surface, and a Neo4j graph model for network assurance dependencies.

7.5M+ assets processed
65% to 94% accuracy
3M+ topology records
30% faster complex queries
01

Multi-vendor ingestion

02

Airflow ETL and reconciliation

03

API service layer

04

Graph dependency model

05

React analytics

PythonAirflowReactFlaskTypeScript

Nvidia

Real-Time GPU Telemetry System

Problem

GPU thermal signals needed to move from low-level agents into a near real-time monitoring product for faster operational response.

Approach

Integrated C/C++ agent output into Python and Kafka ingestion, then exposed telemetry through Django REST APIs and React/D3 dashboards.

100GB+ daily stream volume
40% better issue detection
35% fewer overheating incidents
01

C/C++ telemetry agent

02

Python adapter

03

Kafka stream

04

Django APIs

05

React/D3 dashboard

PythonKafkaDjango REST FrameworkReactD3.js

Innoplexus

Ontosight Biomedical Research Platform

Problem

Biomedical researchers needed faster access to publications, clinical trials, regulatory data, and news during high-pressure research cycles.

Approach

Scaled distributed backend services, optimized Elasticsearch retrieval, and added caching for high-traffic research workflows.

48M+ publications
830K+ clinical trials
200+ researchers enabled
50% faster search
35% lower DB load
01

Biomedical ingestion

02

Distributed services

03

Search indexing

04

Redis acceleration

05

Research APIs

Node.jsPythonElasticsearchMongoDBRedis

Firstcry.com

Reverse Logistics Automation Platform

Problem

High-volume ecommerce content and returns workflows depended on slow manual processing across operational systems.

Approach

Automated product image ingestion and built cloud-backed reverse logistics workflows for return and exchange processing.

100K+ images monthly
70% faster publishing
30% faster returns processing
01

FTP/SMB ingestion

02

Python processing

03

Node workflows

04

AWS event services

05

Operations UI

PythonShellNode.jsVue.jsAWS Lambda

Skills

A pragmatic stack for backend-heavy product engineering.

Languages

JavaScriptTypeScriptPythonJavaSQLShell

Backend

Node.jsExpressDjangoFlaskSpring BootgRPCREST APIs

Frontend

ReactVueD3.jsHTML5CSS3Analytics UI

Data and Distributed Systems

PostgreSQLMongoDBNeo4jElasticsearchRedisAirflowKafkaPySparkETL

Cloud and DevOps

AWS LambdaS3EC2SNSSQSDockerKubernetesCI/CD

AI and ML

LangChainLangGraphRAGOpenAI APIsScikit-learnGensim

Engineering Tools

GitPostmanSwaggerSeleniumPlaywrightAutomated Testing

Education

MS in Information Technology, State University of New York, 2024

BE in Computer Science, University of Pune, 2018

Highlights

Applied ML pipeline for 1M+ ChatGPT interaction records with 87% sentiment/topic modeling accuracy.

Testing culture: Jest, Mocha, Chai, Selenium, TDD, and 90% unit coverage on a global relocation platform.

Recommendations

Verified colleague feedback lives on LinkedIn.

Read verified recommendations from colleagues and collaborators on LinkedIn.

Contact

Let’s build the kind of platform recruiters remember and teams rely on.

Best fit: senior full-stack roles where backend systems, data pipelines, analytics, and applied AI need to come together in production.

tech.adityapatil@gmail.com607-296-9140LinkedIn