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Software Engineer with less than a year in data pipelines and full-stack development.
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Assessing your cultural and operational fit
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 – December 31, 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 projects showcase initiative and a proactive learning attitude, with diverse interests ranging from voice assistants to network protocol optimization. The internship at DRDO indicates an ability to work in a rigorous engineering environment. The breadth of technical skills listed (Python, C#, Java, JavaScript, ML/AI basics, various databases, cloud platforms) suggests a willingness to explore and adapt to different technologies. However, the psychometric test score is low, which could indicate potential challenges in cultural alignment related to work attitude or team collaboration, requiring further investigation.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to problem-solving and project execution, as seen in the DRDO internship and WSN routing protocol project. The ability to work in sprint cycles and adhere to strict quality requirements indicates good operational fit. The psychometric test score is below average, which might suggest areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though more specific data is needed for a definitive conclusion.