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Physical Design Engineer with less than a year in VLSI flow & Python-based data analysis
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher with hands-on experience in VLSI Physical Design and Python-based data analysis. Worked on RTL-to-GDSII flow including synthesis, floorplanning, placement, CTS, routing, and timing closure. Skilled in Python, SQL, and data analysis. Currently building skills in Generative AI including LLMs, Prompt Engineering to solve modern AI-driven problems.
Madanapalle Institute of Technology and Science
B.Tech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Higher Secondary School
Intermediate · MPC
June 1, 2019 – May 31, 2021
Secondary School Certificate
SSC
June 1, 2018 – May 31, 2019
Sumedha Institute of Technology, Bangalore
Physical Design Trainee
June 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
AI Chatbot using Langchain
June 1, 2026 – Present
Developed a document-based chatbot using Large Language Models (LLMs) and LangChain. Implemented Retrieval-Augmented Generation (RAG) using FAISS for accurate responses. Designed and integrated REST APIs using FastAPI for user interaction. Processed and chunked data for efficient retrieval and context handling.
Student Performance Analysis - SQL & Python
June 1, 2026 – Present
Analyzed student data using Python libraries like Pandas and NumPy. Performed data cleaning, preprocessing, and exploratory data analysis. Visualized insights using Matplotlib/Seaborn to identify performance trends. Derived actionable insights to improve academic outcomes.
IguanaSOC Block Implementation
June 1, 2026 – Present
SoC Block Implementation (28 nm Technology). Worked on physical design flow including placement and routing. Performed timing optimization and resolved DRC violations.
Introduction to Machine Learning
NPTEL
June 1, 2026 – Present
Computer Architecture
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including physical design, data analysis, and AI chatbot development, suggests a broad interest in technology. While the primary focus aligns with the 'Physical Design Engineer' role, the exploration of other domains indicates adaptability and a willingness to learn. The academic and personal projects demonstrate initiative. The internship experience directly matches the target role, indicating a clear career path and commitment to the field.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to technical tasks, as evidenced by the detailed description of the physical design flow. The inclusion of AI/ML projects suggests an interest in learning and applying new technologies, which could be beneficial for adapting to evolving industry trends. However, without specific psychometric test results or interview data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.