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AI Engineer with less than a year in NLP, Speech Recognition & Real-time Data Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering student with strong analytical and problem-solving skills, interested in data-driven growth, marketplace analytics, and consumer behaviour. Experienced in Python, NLP, Speech Recognition, and real-time data pipelines, with a focus on turning AI capabilities into end-to-end products.
Thadomal Shahani Engineering College
B.E. · Electronics & Telecommunication Engineering
August 1, 2022 – June 30, 2026
Swami Vivekanand International School & Jr. College
Secondary and Higher Secondary Education
June 1, 2007 – May 31, 2022
Predictive Maintenance: RUL Estimation
June 19, 2026 – Present
Analysed time-series sensor data to identify performance degradation trends and predict Remaining Useful Life (RUL). Built interactive dashboards in Streamlit to monitor key metrics and support faster decision-making. Improved prediction reliability through data preprocessing, trend analysis, and feature engineering.
View ProjectLingofy: Multimodal Language Learner
June 19, 2026 – Present
Built a multimodal language learning platform using NLP, speech recognition, and computer vision. Designed real-time AI feedback pipelines connecting backend models to frontend interfaces for live user evaluation. Developed semantic response evaluation features using SBERT to improve feedback accuracy and user interaction. Optimized data processing pipelines to reduce latency and improve system responsiveness.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to practical problems (predictive maintenance, language learning). The breadth of technologies used (Python, Streamlit, Pandas, NumPy, NLP, Speech Recognition, Computer Vision, SBERT, YOLOv8) indicates a willingness to learn and adapt. However, the lack of professional experience and diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment. The candidate is still an undergraduate, which suggests a learning-oriented mindset but also a potential lack of exposure to diverse team dynamics and corporate culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting strong problem-solving skills. The focus on 'real-time AI feedback pipelines' and 'optimizing data processing pipelines' implies an understanding of operational considerations and system responsiveness. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.