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Python Engineer with 1+ years in Backend & AI/GenAI Systems
Python Developer with 1.9 years of production experience building scalable backend systems, REST APIs, and AI-driven automation solutions. Proficient in Django, PostgreSQL, OOP, and Agile methodologies. Delivered an end-to-end RAG-based AI chatbot (LangChain + FAISS + Azure LLMs) that cut manual effort by ~40%. PCAP-certified with strong fundamentals in data structures, debugging, version control, and clean code practices. Eager to contribute to high-impact software engineering roles in fast-paced, collaborative environments.
Panimalar Engineering College, Anna University
B.Tech · Information Technology
August 1, 2019 – June 30, 2023
Tata Consultancy Services (TCS)
Python Developer
June 1, 2024 – Present
Chennai, Tamil Nadu, India
Syncfusion Software
Software Engineer Trainee
March 1, 2024 – June 1, 2024
Chennai, Tamil Nadu, India
LTIMindtree
Graduate Engineer Trainee (Intern)
March 1, 2023 – May 1, 2023
Chennai, Tamil Nadu, India
PCAP™ - Certified Associate Python Programmer
Unknown
June 1, 2026 – Present
AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Microsoft Azure
June 1, 2026 – Present
Teamcenter (X) Certified Associate - Siemens Xcelerator Academy
Siemens Xcelerator Academy
June 1, 2026 – Present
IGNITE Internship Training Program – LTIMindtree (Cloud Track, Score: 88%)
LTIMindtree
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans backend development, AI/GenAI systems, and exposure to enterprise software development standards through internships. The diverse project experience, including an observability dashboard and an AI chatbot, demonstrates adaptability and a broad interest in different problem domains. The certifications and continuous learning (e.g., Cloud Track training) suggest a proactive attitude towards skill development, which aligns well with a dynamic, fast-paced environment. The current role as a Python Developer at TCS directly aligns with the target role, indicating a clear career trajectory.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight participation in Agile sprints, code reviews, and cross-functional requirement sessions, indicating a collaborative mindset and understanding of modern SDLC practices. The focus on documenting design decisions and technical architecture suggests an appreciation for maintainability and knowledge transfer. The ability to deliver measurable business impact (e.g., 40% reduction in manual effort) points to a results-oriented approach.