Software Engineer with less than a year in NLP & AI, skilled in Python, C++, and System Design.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with production experience building scalable multilingual NLP pipelines at Murf.ai. Strong in Python, C++, backend development, and system design. GATE qualified with solid foundations in Data Structures, DBMS, OS, and Computer Networks.
National Institute of Technology, Jamshedpur
Masters of Technology · Computer Science and Engineering
August 1, 2024 – June 30, 2026
Dr. Ambedkar Institute of Technology for Handicapped
B.Tech · Computer Science & Engineering
August 1, 2019 – June 30, 2023
Devasthaly Vidyapeeth
Intermediate
June 1, 2016 – May 31, 2018
MURF.AI
Associate Software Developer Intern - G2P (Grapheme-to-Phoneme) Team
October 1, 2025 – April 1, 2026
India
Face Mask Detection Model
June 24, 2026 – Present
Designed a CNN model using TensorFlow & OpenCV to detect real-time mask presence. Achieved 95% accuracy on test data with robust performance in real-time video streams. Deployed a contactless entry system reducing manual checks by 60%, enhancing safety during COVID.
Breast Cancer Prediction
June 24, 2026 – Present
Developed a binary classifier using Random Forest and Logistic Regression for early-stage cancer detection. Achieved 93% accuracy with advanced preprocessing (feature scaling, SMOTE) and hyperparameter tuning. Helped demonstrate how low-cost solutions can improve medical diagnostics in rural areas.
Research Work
June 24, 2026 – Present
Developed LMST Protocol, a lightweight security solution for IoT cameras achieving 0.19ms latency and 128-bit encryption using ECDH P-256 and AES-256-GCM.
View ProjectGate Qualified
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects, particularly those focused on medical diagnostics and safety during COVID, suggest a desire to apply technology for social good, which can be a positive cultural fit for impact-driven organizations. Their experience at MURF.AI, a company focused on AI voice synthesis, aligns well with innovative and fast-paced tech environments. The breadth of skills listed (C++, Python, JavaScript, MongoDB, SQL, React.js, Node.js, Express.js, System Design) indicates a versatile individual open to various technologies and challenges. The pursuit of a Master's degree while having practical internship experience shows a commitment to continuous learning and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work and internship experience, particularly in handling complex multilingual text processing challenges. Their collaboration with researchers and engineers at MURF.AI indicates good teamwork and communication skills in a professional setting. The ability to design and optimize solutions for specific linguistic challenges (e.g., Indic scripts) suggests an analytical and detail-oriented approach. The candidate's academic projects also show initiative and an interest in applying technical skills to real-world problems.