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B.Tech Computer Science graduate (CGPA: 8.13/10) with experience in data pipelines, RESTful APIs, and full-stack development. Improved telemetry post-processing time by ~40% during a DRDO internship. Skilled in Python, C#, SQL, AWS, Azure, Docker, DSA, and OOP, with 100+ LeetCode problems solved.
Government College of Engineering, Keonjhar
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
ITR DRDO
Software Engineering Intern
June 1, 2025 – July 1, 2025
Balasore, Odisha, India
HC-EEP Protocol AI-Informed WSN Routing & Optimisation
August 1, 2025 – February 1, 2026
Designed and benchmarked a novel WSN routing protocol across 100-node large-scale simulations, comparing performance against 3 established algorithms structured like ML model evaluation and A/B testing. Achieved ~30% improvement in network lifetime and ~25% reduction in redundant transmissions via quantified metric computation and iterative optimisation. Completed an end-to-end experimentation workflow: data collection, preprocessing, benchmarking, and results interpretation with full reproducibility.
View ProjectJarvis - Desktop Voice Assistant
January 1, 2024 – January 1, 2025
Built a fully voice-driven desktop assistant in Python that listens to mic input via Google Speech API, executes commands, and responds using pyttsx3 text-to-speech - operating with sub-second response latency. Implemented 10+ modular features including Wikipedia search, system shutdown/restart, screenshot capture, music playback, joke generation, and web browser control via natural language commands. Designed a persistent assistant-naming system using file I/O and a time-aware greeting module that adapts salutations to morning, afternoon, or evening context.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from a personal desktop assistant to an academic research project on WSN routing and a defense-grade internship, indicates a broad interest in software engineering applications. Their involvement in LeetCode and academic projects suggests a drive for continuous learning and problem-solving, which aligns well with a growth-oriented engineering culture. The target role of 'Software Engineering Intern' is well-aligned with their current experience level and educational background. The breadth of skills across languages, ML/AI basics, backend, databases, and cloud technologies suggests adaptability and a willingness to explore different technical domains.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving and optimization, as seen in their internship and project work. Their ability to deliver features in structured sprint cycles indicates an understanding of agile methodologies and operational rigor. The academic project involving benchmarking and iterative optimization suggests a data-driven and analytical mindset. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like communication clarity, stress handling, and team collaboration is limited.