Narukulla Veda Sri
Career Objective
Graduate Engineer Trainee with 0 years of experience in digital design and prototype software for academic projects. Strong academic foundation in Electronics and Communication Engineering with hands-on project experience implementing a rule-based educational chatbot in Python and designing a power-efficient multi-operand adder using a binary-tree architecture in Verilog. Skilled in digital logic design, testbench-driven verification, algorithm design for binary-tree reduction, version control with Git, and basic NLP pattern matching for intent recognition. Comfortable performing logic simulation, functional verification, and simple post-synthesis analysis. Seeking an entry-level engineering role where I can apply hardware description languages, digital design techniques, and scripting to contribute to embedded systems or FPGA-based projects while continuing to learn industry tools and workflows.
Education
Technical Skills
Projects
- Implemented a prototype educational chatbot in Python to answer student academic queries using a rule-based intent-recognition approach.
- Built keyword and pattern-matching modules with regular expressions to classify user intents and map queries to curated responses stored as JSON.
- Designed conversational flow and response-selection logic to prioritize concise, relevant answers for STEM-focused FAQ content.
- Developed unit test scripts to validate reply correctness across common query variations and edge cases.
- Managed source code and version control using Git; produced README and inline documentation describing architecture and usage.
- Designed a binary-tree based multi-operand adder architecture to reduce critical path depth compared with linear adder approaches.
- Implemented the adder in Verilog with modular reduction stages and parameterizable operand width to support varying bit-sizes.
- Developed comprehensive Verilog testbenches to verify functional correctness across corner cases and randomized input vectors.
- Executed logic simulation to validate timing and behavior; iterated the design to reduce gate-level depth and resource usage.
- Performed comparative analysis of logic depth and routeable complexity to demonstrate improved latency characteristics over ripple designs.
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