Anthony Nikhil Reddy Lingala
Full-Stack Engineer | Cloud Architect | AI Innovator
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.
AWS Certified Developer - Associate
Issued by Amazon Web Services Training and Certification
Career Journey
Software engineer with 3+ years of experience building scalable cloud solutions and leading technical initiatives. Masters in Computer Science from NYU with experience as a Teaching Assistant and contributor to cutting-edge projects. Creator of EasyTeX.cc serving 1500+ users and currently working as an SDE at TagNTrac.ai focusing on integrating AI-powered analytics solutions with enterprise systems.
Technical Expertise
AWS cloud architect and data engineering specialist with deep expertise in Lambda, EC2, S3, DynamoDB, and serverless architectures. Expert in Python and building robust data pipelines that process large-scale datasets with high reliability and performance. Proven track record in reducing operational costs by 35% and improving system performance through innovative AWS solutions.
Key Achievements
- •Built and deployed EasyTeX.cc serving 1500+ users with AI-powered LaTeX generation on AWS infrastructure
- •Architected serverless systems serving 100+ concurrent users with 99.9% uptime using AWS Lambda and WebSockets
- •Reduced data processing time by 65% through automated Python-based data ingestion and pipeline optimization
- •Recognized with multiple awards at Verizon for commitment to excellence and innovation in cloud solutions
Leadership & Impact
Graduate Student Council President and Teaching Assistant for 100+ students at NYU in Software Engineering, focusing on AWS cloud architecture and best practices. Developed automation scripts reducing grading time by 60% while maintaining high-quality feedback and educational standards. Active in mentoring and knowledge sharing through technical documentation and supplementary learning materials.
Current Focus
Building scalable data pipelines and analytics solutions that integrate BigQuery and enterprise dashboards using Python and AWS. Developing efficient data processing systems for high-volume data ingestion and real-time analytics. Continuously exploring advanced AWS services, Python frameworks, and data engineering best practices with a strong foundation from my NYU graduate studies.
Work Experience
TagNTrac.ai
Jul 2025 – PresentSoftware Development Engineer
- Owned backend API services that productionized NLP pipelines, supporting 10K+ daily inference requests consumed by internal dashboards and downstream systems.
- Converted NLP prototypes into fault-tolerant production APIs, improving pipeline reliability from ad-hoc execution to 99.9% uptime.
- Built AI orchestration layers managing multi-step LLM workflows (prompt routing, tool calling, retries, validation), reducing failed AI executions by 40%.
- Implemented secure server-side LLM tool calling to invoke internal services - analytics, enrichment, metadata lookups, enabling deterministic and auditable AI actions.
- Designed scalable async request pipelines with rate limiting and observability, improving throughput by 3× under peak AI workloads.
Tavant Technologies
Jun 2024 – Aug 2024Software 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%.
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.
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.
Verizon
Aug 2021 – Jul 2023Software 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.
Excella Technologies
May 2019 - Jun 2019Software 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.
Currently Building
Side Projects- 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.
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
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.
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.
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.
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.
Technical Skills
Core Strengths
System Design & Architecture
Languages
Cloud Platforms
Backend & APIs
Databases
Data & ML
DevOps
Leadership
NYU Tandon Graduate Student Council
2024 – 2025President
- 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 2025Masters of Science in Computer Science
New York, NYCGPA: 3.89
Vellore Institute Of Technology
Jul 2017 – Jun 2021Bachelor of Technology in Computer Science
Vellore, IndiaCGPA: 3.34
Honors and Awards
Cheers For Peers
Feb 2022Verizon
Awarded by the Director of our portfolio at Verizon, for commitment towards work.
View on LinkedIn →Personal Commitment
Dec 2022Verizon
Awarded by the Senior Vice President at Verizon for the efforts and excellence.