Anthony Nikhil Reddy Lingala

Full-Stack Engineer | Cloud Architect | AI Innovator

Currently: SDE @ TagNTrac.aiEx-VerizonCS @ NYU

Building scalable cloud systems and serverless architectures with 2 years of professional experience at Verizon. Passionate about leveraging AWS infrastructure to power next-generation applications.

Elected President of NYU Tandon Graduate Student Council, driving advocacy and innovation initiatives for 3,000+ graduate students.

2× AI Hackathon Winner 🏆Cheers for Peers Award at Verizon 🌟
LinkedInEmail+1 (347) 875-2294
Download Resume Blog
AWS Certified Developer - Associate

AWS Certified Developer - Associate

Issued by Amazon Web Services Training and Certification

Work Experience

TagNTrac.ai

Jul 2025 – Present

Software Development Engineer

  • Designed and deployed API endpoints to integrate BigQuery NLP results into analytics dashboards, streamlining insights delivery for business, product, and engineering teams.
  • Developed RAG-based system for internal documentation with API integration for chatbot implementation, improving developer productivity and knowledge accessibility.
BigQueryNLPPythonAnalyticsGCPRAGAPI Development

Tavant Technologies

Jun 2024 – Aug 2024

Software Development Intern

  • Developed and integrated a Neo4j-based recommendation engine into Python data pipelines, boosting recommendation accuracy by 30%.
  • Built API-based connectors between Neo4j, AWS Lambda, and S3 for automated ingestion and preprocessing of daily records, improving operational efficiency by 35%.
Neo4jPythonAWS LambdaS3APIsData Pipelines

New York University

Graduate Teaching Assistant

Sep 2024 – May 2025
  • Served as a Teaching Assistant for the Software Engineering course, mentoring 100+ students on AWS-based cloud architecture, serverless development, CI/CD pipelines, and modern software engineering best practices.
  • Coordinated closely with the professor and students to facilitate office hours, ensuring comprehensive understanding of course materials and hands-on AWS experience.
  • Graded and provided detailed feedback on programming assignments, project submissions, and technical assessments for cloud-based applications, maintaining a 48-hour turnaround time while ensuring fair and consistent evaluation.
  • Developed and implemented Python-based automation scripts for assignment grading and code quality checks, reducing manual grading effort by 60% and providing students with instant feedback on syntax, style, and best practices.
  • Created supplementary learning materials and AWS architecture diagrams to help students better understand complex concepts like microservices, containerization, and infrastructure-as-code.
AWSPythonSoftware EngineeringCI/CDJenkinsLambdaTeaching

Grader

Dec 2023 – Aug 2024
  • Evaluated and graded programming assignments and exams for multiple computer science courses, providing constructive feedback to help students improve their coding skills and understanding of core concepts.
  • Developed automated grading scripts using Python to streamline the evaluation process, reducing grading time by 50% while maintaining accuracy and consistency across all submissions.
  • Collaborated with faculty to establish clear grading rubrics and ensure fair assessment standards across diverse student submissions.
PythonGradingAutomation

Verizon

Aug 2021 – Jul 2023

Software Development Engineer - 2

🌟 Cheers for Peers
  • Engineered the data ingestion process within an EC2 instance using Python and AWS SDK, ensuring robust error validation through continuous logging in AWS SQS and SNS services, reducing manual oversight by 70% and increasing data accuracy by 25%.
  • Devised serverless data workflows using AWS Lambda and Step Functions, integrated with DynamoDB, slashing operational costs by 35% and enabling infinite scalability with a 50% reduction in manual intervention.
  • Automated the process of data collection into PostgreSQL database from over 300+ Jenkins jobs using PySpark, Hadoop, and Dagster, decreasing data ingestion time by around 65% and enhancing data reliability.
  • Architected and implemented a cutting-edge React-based SDE Dashboard integrated with New Relic APIs and RESTful services, empowering stakeholders with a consolidated, real-time view of project status across multiple portfolios.
  • Leveraged DevOps metrics using Grafana and Prometheus to drive data-driven decision-making, resulting in a 20% improvement in resource allocation efficiency and enhanced monitoring capabilities.
  • Developed and maintained CI/CD pipelines using Jenkins, enhancing deployment efficiency and reducing release cycle times.
  • Optimized large-scale data processing workflows with Apache Spark and Kafka, improving real-time data streaming capabilities and reducing processing latency.
PythonAWSEC2LambdaStep FunctionsDynamoDBPySparkHadoopDagsterReactNew RelicGrafanaPrometheusJenkinsSparkKafkaPostgreSQLSQSSNS

Excella Technologies

May 2019 - Jun 2019

Software Development Intern

  • Engineered a seamless ad posting experience through the development of an intuitive digital platform and offline media integration, leading to a 50% reduction in customer effort and a 20% boost in ad response rates.
  • Media Integration: Streamlined advertising efforts by creating an innovative online and print advertising integration portal, resulting in a 40% increase in marketing reach and a 25% improvement in cross-channel conversions.
  • Photo Editor: Added a feature of photo editor, which helped the users to edit & add text the photos on the portal before advertising.
HTMLCSSJavaScriptPHPMySQLBootstrap

Currently Building

Side Projects

LocalGPT - Semantic File Search

In Development
  • Building a local file search system powered by keyword embeddings and vector similarity search, enabling intelligent file discovery based on semantic meaning rather than exact keyword matching.
  • Implementing RAG (Retrieval-Augmented Generation) architecture to index and search through documents, code files, and notes with natural language queries.
  • Leveraging OpenAI embeddings and ChromaDB/FAISS for efficient vector storage and retrieval, reducing search time by 80% compared to traditional grep-based approaches.
PythonOpenAIVector DBRAGEmbeddingsSemantic Search

Featured Project

EasyTex.cc

Co-founded Platform • 1500+ Active Users

An AI-powered LaTeX resume builder and job application automation platform designed to streamline the entire job search process.

🤖 AI-Powered Features

  • Resume Editing: AI-powered content optimization and suggestions
  • Job Score Matching: Intelligent resume-to-job description compatibility analysis
  • Description-Based Optimization: Automatic resume tailoring for specific job postings
  • Mock Interview Questions: AI-generated interview prep based on job descriptions
  • Cover Letter Generation: Personalized cover letters powered by AI

Core Features

  • Real-time PDF preview
  • ATS-friendly resume templates
  • Research paper templates
  • Version control

Tech Stack

Next.jsTypeScriptTailwind CSSAWS LambdaS3Supabase

Projects

Collaborative Online Code Editor

Sep 2024 - Dec 2024

  • Architected a serverless collaborative code editor using AWS Lambda, WebSockets, and Y.js, supporting 100+ concurrent users with 99.9% uptime.
  • Engineered a distributed code execution platform using Docker and AWS Fargate, processing 1,000+ concurrent executions per second.
  • Established CI/CD pipeline reducing deployment time by 60% and eliminated downtime.
AWS LambdaWebSocketsY.jsDynamoDBDockerFargateFlaskPythonRedis

Multi-Tenant DBaaS System

Oct 2024 - Dec 2024

  • Designed a multi-tenant DBaaS system capable of dynamically onboarding up to 50 tenants per second, reducing manual provisioning time by over 80%.
  • Improved schema migration success rate to 95% through automated SQL validation, Redis-backed retry mechanisms, and asynchronous workflows.
  • Reduced database creation latency by 60% compared to RDS using MySQL on EC2, achieving sub-0.01-second initialization times.
PythonMySQLRedisEC2SQLAsync

Windmill Predictive Maintenance Analysis

Sep 2023 - Dec 2023

  • Designed and implemented a scalable ETL pipeline to ingest and process 5 years of windmill sensor data using Apache Kafka and Spark, reducing data latency by 40% and ensuring near real-time analytics.
  • Built an LSTM-based predictive maintenance model in TensorFlow, improving operational planning with an 89% accuracy in forecasting turbine failures.
  • Developed a user-facing dashboard with Flask to serve turbine data as a service, providing insights through historical trend graphs and real-time log summaries for immediate decision-making.
KafkaSparkSQLFlaskTensorFlowPython

Serverless Image Processing Pipeline

Aug 2023 - Oct 2023

  • Developed a serverless image processing pipeline on AWS Lambda for automatic resizing and optimization of uploaded images.
  • Achieved a significant 50% reduction in image load times through efficient processing and optimization techniques.
  • Designed metadata APIs enabling <50ms retrieval time for optimized asset management.
AWS LambdaS3PythonServerlessAPI Gateway

Technical Skills

Core Strengths

PythonAWSGCPSystem DesignMicroservices

System Design & Architecture

Distributed SystemsServerlessEvent-DrivenReal-Time SystemsCaching

Languages

PythonJavaTypeScriptJavaScriptGoSQL

Cloud Platforms

AWS (Lambda, S3, EC2, DynamoDB, SQS, SNS)GCP (BigQuery, Cloud Functions)ServerlessDockerKubernetes

Backend & APIs

FlaskDjangoSpring BootNode.jsFastAPIRESTGraphQL

Databases

PostgreSQLMySQLMongoDBRedisNeo4jVector DBs

Data & ML

SparkKafkaAirflowDagsterRAGNLPEmbeddings

DevOps

DockerKubernetesJenkinsCI/CDGitTerraform

Leadership

NYU Tandon Graduate Student Council

2024 – 2025

President

  • Elected to represent and advocate for 3,000+ graduate students across NYU Tandon School of Engineering.
  • Lead strategic initiatives to enhance graduate student experience, academic resources, and professional development opportunities.
  • Coordinate with university administration, faculty, and student organizations to address graduate student concerns and implement policy improvements.
  • Organize campus-wide events, workshops, and networking sessions to foster community engagement and career advancement.

Education

New York University

Sep 2023 – May 2025

Masters of Science in Computer Science

New York, NY

CGPA: 3.89

Vellore Institute Of Technology

Jul 2017 – Jun 2021

Bachelor of Technology in Computer Science

Vellore, India

CGPA: 3.34

Honors and Awards

Cheers For Peers

Feb 2022

Verizon

Awarded by the Director of our portfolio at Verizon, for commitment towards work.

View on LinkedIn →

Personal Commitment

Dec 2022

Verizon

Awarded by the Senior Vice President at Verizon for the efforts and excellence.

© 2025 Anthony Nikhil Reddy Lingala

LinkedInGitHubEmail