Neeraj Kumar

Results-driven Software Developer and final-year B.Tech (CSE – AI & ML) student with hands-on experience in full-stack development and AI-powered applications. Proficient in Python, Java, Spring Boot, React, and RESTful APIs, with foundational knowledge of AWS (S3, EC2, ECS, Lambda), Docker/Kubernetes, and Git/CI/CD pipelines. Skilled in debugging, problem-solving, and collaborating within agile teams to deliver scalable solutions.

Passionate about integrating LLM/AI APIs (OpenAI, Bedrock, LangChain) into web applications and eager to learn best practices in AI transformation and cloud infrastructure. Strong communication, adaptability, and a proactive attitude toward building innovative software solutions.

Software Developer Intern - Nighwan Technology Private Limited - Hyderabad, India

(2025-07 - 2026-03)

• Built and deployed full-stack features for a B2B platform using Spring Boot, REST APIs, and MySQL/PostgreSQL.
• Integrated CI/CD pipelines and cloud-ready deployment patterns on AWS (S3, EC2, ECS).
• Debugged issues via JIRA, improving resolution time through analytical problem-solving and clear communication.
• Implemented Spring Security & JWT authentication within microservices.
• Collaborated on LLM API integration (OpenAI/Bedrock via LangChain) and containerization with Docker/Kubernetes.
• Debugged and fixed issues via JIRA while performing defect logging and escalation management using analytical skills and algorithms-based reasoning to improve root-cause analysis, reducing resolution time through clear communication skills with cross-functional engineers and proactive code reviews that reinforced team coding standards and mentorship practices with a positive attitude.
• Implemented Spring Security & JWT authentication within a Spring Boot microservices stack and executed quality assurance checks to verify configurations before delivery to customers in a SaaS environment, leveraging Git for version control and cloud-ready design to support future deployment on AWS (using OpenAI or Bedrock LLM APIs via LangChain for orchestration and prompt engineering) and containerization on Kubernetes with Docker.

Data Science Intern - Microsoft NIIT foundation - Hyderabad, India

(2024-12 - 2025-03)

Tools and Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib.

• Designed ML pipelines with Scikit-learn, improving prediction accuracy.
• Performed EDA, feature engineering, and model evaluation using SQL queries and reporting techniques (pivot tables, lookup functions, and statistical formulas) to create custom reports and document findings in a shared repository, applying data structures and algorithms with Python scripting to support application development, LLM-aware workflows (vector search concepts for RAG-style retrieval), and collaboration with software engineers building web applications in a full stack development enviro

Bachelor of Technology - CSE(AI&ML) - St. Peter's Engineering College (2021-09 - 2025-05)