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AI Engineer with 1+ years in Machine Learning, Deep Learning, and NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with strong foundations in Machine Learning, Deep Learning, Neural Networks, and NLP. Skilled in Python, TensorFlow, Scikit-learn, NumPy, Pandas, and data preprocessing techniques. Experienced in developing AI-driven cybersecurity models, intelligent chatbots, and large-scale data applications. Seeking an opportunity to contribute technical expertise toward innovative AI solutions in a fast-paced environment.
Sanketika Vidya Parishad Engineering College
Bachelor of Technology · Computer Science Engineering
August 1, 2021 – June 30, 2025
AI-Based Network Threat Identification
January 1, 2026 – June 1, 2026
Developed ML and DL models for automated cyber threat detection and anomaly classification. Implemented AI-driven real-time threat response systems for network safety and intrusion mitigation. Applied behavioral analytics and reinforcement learning for adaptive defense strategies. Performed model tuning and evaluation to improve accuracy and reduce false positives.
Smart Medical Chatbots using Trie-Based NLP
September 1, 2025 – June 1, 2026
Built medical chatbots using Trie-based natural language pattern matching for symptom recognition. Implemented priority queue-based scheduling to classify and respond to health queries by severity. Designed fast retrieval algorithms for mapping symptoms to medical responses. Improved emergency response time through optimized prefix-tree search techniques.
Employment Demand-Supply Matching System (WorkEase)
May 1, 2025 – June 1, 2026
Designed a location-based job-matching platform connecting laborers with employers. Implemented algorithms to efficiently bridge demand-supply gaps using geolocation data. Enhanced employment accessibility and reduced search time for job seekers. Contributed to economic support by improving workforce utilization efficiency.
Blockchain and its Applications
NPTEL
June 1, 2026 – Present
Introduction to Internet of Things (IoT)
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse application of AI/ML in cybersecurity, healthcare (chatbots), and socio-economic domains (job matching). This breadth of interest and application suggests adaptability and a willingness to explore different problem spaces, which can be a positive indicator for cultural fit in an innovative environment. The target role of 'AI Engineer' aligns well with the candidate's stated skills and project experience. However, the lack of professional experience and limited exposure to diverse team environments makes a full assessment of cultural fit challenging.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and project execution, as evidenced by academic achievements and multiple ML mini-projects. The project descriptions suggest an ability to identify problems and apply AI solutions, which aligns with an operational fit for an AI Engineer role. However, without direct work experience or psychometric test results, it is difficult to assess stress handling, team collaboration, or other soft skills comprehensively.