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Software Engineer with 2+ years in Python, GenAI & REST APIs
2025 B.E. (ECE) graduate with strong Python programming fundamentals, hands-on REST API and microservices development experience, and a growing focus on Generative AI and Agentic AI frameworks. Completed IBM's Fundamentals of Artificial Intelligence certification and built Python-based simulation, data-pipeline, and automation projects that map directly to RAG pipeline and agentic workflow patterns document/data ingestion, structured processing, decision logic, and output generation. Internship-proven experience with Spring Boot, REST APIs, PostgreSQL/MySQL, Git workflows, and cloud platforms (GCP, Azure, AWS fundamentals). Highly curious about emerging AI technologies (LangChain, LangGraph, RAG, vector databases, MCP), with an experimental, fast-prototyping mindset and the ability to translate functional requirements into working technical solutions.
Dhirajlal Gandhi College of Technology
B.E. · Electronics & Communication Engineering
January 1, 2021 – January 1, 2025
Palle Technologies
Software Testing Intern
May 1, 2025 – August 31, 2025
India
Nimblix Technologies
Software Development Intern
January 1, 2024 – Present
India
API Web Testing - Pipeline-Style REST API Validation Suite
January 1, 2026 – June 1, 2026
Designed a multi-stage data validation pipeline: request → process → validate → log → report - structurally analogous to a RAG pipeline's ingestion → embedding → retrieval → response-generation flow. Built modular Python/Java components with clear input/output contracts at each stage the same DAG-based, stage-wise design pattern used in LangGraph orchestration. Implemented structured logging and error handling for each pipeline stage - directly aligned with the role's observability and production-readiness requirements.
Smart Traffic Management System - Agentic-Style Decision & Orchestration Logic
January 1, 2026 – June 1, 2026
Designed a system where independent modules (sensor input, decision logic, signal output) communicate and act based on real-time data - conceptually mirroring a multi-agent orchestration pattern where agents perceive, decide, and act. Implemented conditional, rule-based decision flows that respond dynamically to changing inputs the core logic pattern behind agentic AI workflows (perceive → reason → act). Documented the system architecture with clear module boundaries and data flow diagrams - directly applicable to the role's requirement for architecture diagrams (draw.io) and solution documentation.
UAV Design - Python Simulation, Data Processing & Structured Output Generation
January 1, 2026 – June 1, 2026
Built Python modules to ingest input parameters, process them through calculation pipelines, and generate structured output reports - a simplified analogue of document ingestion → processing → response generation in RAG systems. Applied OOPs principles to create reusable, well-documented components - reinforcing the clean architecture and rapid-prototyping mindset valued in this role.
Self-Directed Learning - GenAI & Agentic AI Foundations
January 1, 2026 – June 1, 2026
Completed IBM 'Fundamentals of Artificial Intelligence' certification, covering core AI/ML/LLM concepts as a foundation for GenAI application development. Currently building a small RAG-based Q&A prototype using LangChain and an open-source vector store (FAISS/pgVector) to gain hands-on implementation experience as required by the JD's 'must have hands-on experience' clause. Exploring LangGraph for simple agentic workflow orchestration and studying MCP (Model Context Protocol) fundamentals to align with the role's 'experiment with emerging AI standards' expectation.
Fundamentals of Artificial Intelligence
IBM
June 1, 2026 – Present
Cloud Computing Fundamentals
Qwiklabs – GCP
June 1, 2026 – Present
Java Programming
Unknown
June 1, 2026 – Present
Java Software Testing
Unknown
June 1, 2026 – Present
MERN Stack Development
Unknown
June 1, 2026 – Present
Exploring Data Visualization and Analytics
Coursera
June 1, 2026 – Present
Blockchain Development
Naan Mudhalvan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic and personal projects, including UAV simulation, smart traffic management, and API testing, showcase a broad interest in applying technical skills to various domains. Their proactive engagement with GenAI and Agentic AI foundations, coupled with an eagerness to experiment with emerging AI standards, aligns well with a culture of innovation and continuous learning. The explicit mention of wanting to act as a 'software detective' for clients suggests a service-oriented and problem-solving mindset, which can be a good cultural fit for consulting-oriented roles.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, a fast-learner mentality, and an experimental/prototyping mindset. Their ability to clearly document and translate requirements into architecture diagrams suggests good operational fit for roles requiring structured design and communication. The experience in agile cross-functional teams indicates a collaborative work attitude.