Teja N — Software Engineer

I am an experienced Software Development Engineer with over 6+ years of expertise in designing and deploying cloud-native solutions, intelligent automation systems, and distributed architectures. With a strong foundation in Python development and extensive hands-on experience with AWS and full-stack technologies, I have successfully contributed to the design and optimization of high-performance applications across industries such as robotics, healthcare, and e-commerce. My professional journey includes working with large-scale systems that handle complex data flows, enabling context-aware autonomous behaviors and reducing operational inefficiencies. I have led the development of LLM-integrated robotic agents, distributed data pipelines, and predictive analytics systems, focusing on performance, scalability, and reliability. Notable achievements include designing and implementing robust automation frameworks for robotics at Amazon Lab126, integrating HIPAA-compliant systems for healthcare data ingestion at LTI Mindtree, and leading successful data migration initiatives that processed millions of records with complete compliance. I have also developed end-to-end solutions that have streamlined operations, improved decision-making through advanced analytics, and reduced manual workloads significantly—driving measurable cost savings and performance gains. In addition to my technical capabilities, I am deeply committed to driving innovation in the development of intelligent systems that harness the power of machine learning, cloud infrastructure, and automation. I am passionate about creating scalable, highly-available platforms that deliver value across the entire software development lifecycle. With a collaborative mindset and a focus on quality, I am always looking for opportunities to contribute to high-impact projects that push the boundaries of what technology can achieve.

Stackforce AI infers this person is a Robotics and Healthcare Software Engineer specializing in cloud-native solutions and intelligent automation.

Experience: 6 yrs 2 mos

Skills

Robotic Test Automation
Llm Integration
Data Analytics
Data Pipeline Development
Full-stack Development
Hipaa-compliant System Development
Microservices Architecture
Data Automation
Predictive Analytics
Serverless Architecture
Algorithm Development
Restful Api Development
Etl Development

Career Highlights

Designed HIPAA-compliant systems for healthcare data ingestion.
Led development of LLM-integrated robotic agents.
Achieved 99.9% uptime in microservices architecture.

Work Experience

Amazon Lab126

Software Developer (2 yrs 7 mos)

LTIMindtree

Software Development Engineer (10 mos)

Amazon

Software Developer Internship (3 mos)

Eunimart

Software Developer (2 yrs 6 mos)

Education

Master's degree at Indiana University Bloomington

Bachelor of Technology - BTech at KL University

Teja N

Software Engineer

United States6 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed HIPAA-compliant systems for healthcare data ingestion.
Led development of LLM-integrated robotic agents.
Achieved 99.9% uptime in microservices architecture.

Stackforce AI infers this person is a Robotics and Healthcare Software Engineer specializing in cloud-native solutions and intelligent automation.

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Skills

Core Skills

Robotic Test AutomationLlm IntegrationData AnalyticsData Pipeline DevelopmentFull-stack DevelopmentHipaa-compliant System DevelopmentMicroservices ArchitectureData AutomationPredictive AnalyticsServerless ArchitectureAlgorithm DevelopmentRestful Api DevelopmentEtl Development

Other Skills

LLM Integration & Prompt EngineeringRobotic Test Automation (ROS, Appium, pytest)AWS GlueAWS AthenaAWS QuickSightAWS IoT CoreAWS KinesisReactAWS LambdaDynamoDBHIPAA-Compliant System Development (FHIR, Python, Django)Microservices Architecture & Cloud Infrastructure (AWS S3, Lambda, EC2)PandasSklearnTableau

About

Experience

Amazon lab126

Software Developer

Aug 2023 – Present · 2 yrs 7 mos · Sunnyvale, California, United States

Integrated LLMs for embodied robotic agents, designing and implementing prompt-driven task plans to enable context-aware autonomous activities in a dispersed IoT network.
Architected a modular Robot Test Automation Framework with pluggable libraries (ROS, Appium, pytest), enabling 500+ automated test cases for complex robotic, UI, and system-on-chip validations.
Implemented a Hardware-in-the-Loop (HIL) distributed execution system that autonomously ran scenario tests on 30+ physical devices, enabling continuous regression validation and code-review gating for LLM architecture.
Designed and operationalized a distributed metrics and analytics platform (AWS Glue, Athena, QuickSight) to surface device KPIs, reducing manual analysis time by 90% for QA and operations teams.
Developed a high-throughput data collection pipeline for multimodal capture (video, audio, sensor streams) using Kinesis Video Streams and AWS IoT Core, safely ingesting over 10,000 datasets into Amazon S3.
Delivered a full-stack LLM Performance Dashboard (React, Lambda, RDS, DynamoDB) to display scenario variance and regression metrics, accelerating CR approval workflows and providing actionable insights to leadership.
Developed an intelligent troubleshooting system leveraging prompt-driven log collection and Knowledge Graph introspection to rapidly diagnose conversational and system failures

LLM Integration & Prompt EngineeringRobotic Test Automation (ROS, Appium, pytest)AWS GlueAWS AthenaAWS QuickSightAWS IoT Core+3

Ltimindtree

Software Development Engineer

Sep 2022 – Jul 2023 · 10 mos · Seattle, Washington, United States

Developed and deployed a secure, HIPAA-compliant patient data ingestion system using Python, Django REST Framework, and FHIR standards, enabling real-time access to EHRs and reducing data retrieval latency by 30%.
Led integration of a microservices-based architecture on AWS, incorporating S3, Lambda, EC2, and API Gateway, resulting in 99.9% uptime and scalable access across 5 departments.
Automated healthcare claims validation workflows using Pandas, Sklearn, and business rules logic, resulting in a 95% accuracy rate and saving an estimated 120+ manual hours/month for operations teams.
Designed and developed a full-stack predictive analytics dashboard using Python (Flask), React, and Tableau, collaborating with data scientists and QA to visualize treatment outcomes and reduce patient readmission rates by 15%.
Led a successful data migration initiative of over 5 million medical records from legacy systems to PostgreSQL, ensuring zero data loss and 100% compliance with regulatory requirements through rigorous QA and Pytest coverage.

HIPAA-Compliant System Development (FHIR, Python, Django)Microservices Architecture & Cloud Infrastructure (AWS S3, Lambda, EC2)PandasSklearnTableauHIPAA-Compliant System Development+1

Amazon

Software Developer Internship

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States · On-site

Upgraded a Python-based AWS Lambda service and integrated it into a Code Pipeline, gaining deep expertise in serverless deployment and management.
Implemented a sophisticated pattern-matching algorithm leveraging Levenshtein distance and the Metaphone algorithm to find error thresholds between English sentences.
Created a precise phonetic system that successfully matches words and names with similar sounds, improving string comparison accuracy.

Serverless Architecture (AWS Lambda, CodePipeline)Pattern Matching & Algorithm Development (Levenshtein Distance, Metaphone)Serverless Architecture

Eunimart

Software Developer

Jan 2019 – Jul 2021 · 2 yrs 6 mos · India · On-site

Designed and deployed RESTful APIs using Python and Django to support high-throughput omnichannel inventory management systems, handling over 2TB of product catalogue and order data across Amazon, Flipkart, and Shopify, reducing API request latency by 25% through optimized PostgreSQL queries and Redis caching.
Led end-to-end ETL development for multi-channel e-commerce data migration using Python, pandas, and SQL, enabling seamless synchronization of 10,000+ SKUs across 25+ platforms like Shopify and ONDC, cutting data sync time by 40% and eliminating manual reconciliation errors.
Developed backend services in Python to integrate real-time order tracking and fulfilment APIs into the omnichannel platform, boosting fulfilment accuracy by 35% and enabling cross-border logistics for 500+ SME merchants.
Automated order reconciliation reports and auditing using Progress 4GL, Python scripts, and Elasticsearch, processing 50,000+ daily transactions and slashing manual reporting time by 60% while improving search-based inventory traceability across multi-channel operations.

RESTful API Development (Python, Django, PostgreSQL)ETL Development & Data Migration (Python, Pandas, SQL)RESTful API DevelopmentETL Development