Welcome

Durga Phani Teja Pasupuleti

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Binghamton, NYSoftware Developer • M.S. Computer Science @ Binghamton (May 2026)

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M.S. Computer Science student (Expected May 2026) with 3+ years of industry experience as a Developer at TCS. I build AI-driven applications and automation-friendly systems using Python, AWS, and modern DevOps tooling.

Durga Phani Teja Pasupuleti

Years of Experience

3+

Professional development

Projects Completed

4+

Full-stack applications

Products Shipped

4+

Production systems

Technical

Technical Skills

Languages, frameworks, and tools I use daily.

P
Python
Java
C
Ansible
Shell Scripting

Core

Core Expertise

What I specialize in and can deliver.

Machine Learning & AI

Advanced ML systems with Deep Learning, NLP, LLMs, and prompt engineering.

  • PyTorch, TensorFlow
  • NLP & LLMs
  • Prompt Engineering
  • scikit-learn, pandas, numpy

Cloud & DevOps

Scalable infrastructure on Azure, AWS, Google Cloud with containerization and automation.

  • Azure, AWS, GCP
  • Docker, Jenkins
  • Terraform, Git
  • Infrastructure as Code

Data & Databases

Data management and visualization with SQL, NoSQL, and enterprise tools.

  • SQL, ORACLE, MongoDB
  • Power BI
  • Data Analytics

Professional

Professional Experience

Industry roles and impact.

Developer

Tata Consultancy Services (TCS)Hyderabad, Telangana

Jan 2021 – Jun 2024

  • Developed and tested code by analyzing requirements to ensure accurate and efficient results.
  • Troubleshot and resolved complex technical issues across multiple software releases.
  • Designed and managed solutions for technical challenges while handling multiple issues simultaneously.
  • Implemented quality control procedures to enhance system efficiency and reliability.

Developer Intern

Arete IT ServicesVijayawada, Andhra Pradesh

Apr 2019 – Jun 2019

  • Developed code to retrieve and process facial data from storage, enhancing system functionality.
  • Debugged and optimized code to improve performance and ensure system efficiency.
  • Collaborated with clients and team members to communicate project status and resolve issues.
  • Researched and evaluated emerging facial recognition technologies to identify potential enhancements.

Education

Education

Academic background and relevant coursework.

M.S. in Computer Science

Binghamton University, State University of New YorkBinghamton, NY

Expected May 2026

Design and Analysis for Computer AlgorithmsIntroduction to Artificial IntelligenceIntroduction to Data MiningIntroduction to Machine LearningDatabase SystemsIntroduction to Cloud Computing

B.Tech in Information Technology

Velagapudi Ramakrishna Siddhartha Engineering College (SAHE/VRSEC)Vijayawada, India

Aug 2016 – Sep 2020

Design and Analysis for Computer AlgorithmsArtificial Neural NetworksBig DataR programmingDatabase SystemsNatural Language Processing

Achievements

Achievements & Recognition

Notable accomplishments and credentials.

Achievements & Recognition

Best Major Project — VR Siddhartha College competition (Vijayawada).

Organized events under CSI and ACM student chapters.

Multiple on-the-spot awards at TCS for successfully handling client requirements.

Best Poster Award (3-member team) under Prof. Yiming Zeng at Binghamton University.

Certifications

IBM BigInsights (IBM)
Coursera Certified Developer for Python
Coursera: Basics of Artificial Intelligence

Ready

Ready to Collaborate?

Let's discuss your next project or opportunity.

🚀

Start a Project

Let's discuss how I can contribute to your next project or team.

💼

Career Opportunities

Open to full-time positions, internships, or contract work in AI/DevOps.

Let's

Let's Connect

Multiple ways to get in touch with me.

Let's Work Together

I'm actively looking for full-time roles, internships, or freelance projects. Whether you're interested in collaboration, have questions about my work, or just want to chat—reach out! I'm excited to explore new opportunities and tackle challenging problems.

Quick Contact

Phone
+1 (607) 595-9637
Location
Binghamton, NY
Response Time
24-48 hours