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AI Engineer with 1+ years in Machine Learning & Industrial Cybersecurity
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Results-driven AI Engineer with 1.8+ years at a Big-4 consulting firm, specializing in building production-grade machine learning pipelines for industrial cybersecurity. Expertise in designing anomaly-detection models, automating large-scale PCAP analysis, and deploying AI-powered vulnerability assessment tools across critical infrastructure. Published researcher in ML-driven disease prediction. Proven track record of reducing manual security analysis effort by 40% through intelligent automation.
Amrita Vishwa Vidyapeetham, Coimbatore
B.Tech · Computer Science & Engineering (Artificial Intelligence)
August 1, 2020 – June 30, 2024
PricewaterhouseCoopers (PwC)
Associate - AI & OT Cybersecurity
October 1, 2024 – Present
Hyderābād, Telangana, India
Automatic Speech Recognition & Emotion Detection – Tamil Language
April 1, 2024 – May 31, 2024
Fine-tuned OpenAI's Whisper Base model using transfer learning on a custom Tamil-speech corpus; appended bidirectional LSTM layers for temporal emotion modeling, achieving 85% classification accuracy across 6 emotion categories. Designed a robust data pipeline handling audio augmentation (noise injection, pitch shifting, time stretching), MFCC/spectrogram extraction, and batch processing of 12+ hours of raw audio daily. Deployed inference endpoint via FastAPI with sub-200ms latency; containerized with Docker for reproducible deployment.
Communicable Disease Outbreak Prediction System
January 1, 2023 – March 31, 2023
Developed an ensemble of RNN and SVR models to forecast dengue and chikungunya outbreaks with 92% accuracy over a 12-month prediction horizon. Engineered 30+ features from epidemiological, meteorological, and demographic datasets totaling 2M+ records; applied PCA and recursive feature elimination for dimensionality reduction. Built interactive Plotly dashboards for public-health stakeholders, enabling drill-down analysis by region, time period, and disease type. Published in Springer – Inventive Communication and Computational Technologies (Oct 2023).
ISO 27001:2022 Lead Implementer
Information Security Management Systems (ISMS)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest in AI applications (speech recognition, public health), while their professional role at PwC demonstrates adaptability to a consulting environment with diverse engagements across multiple sectors (aviation, energy, telecom, manufacturing). This diversity of experience and application of AI to real-world problems suggests a strong cultural fit for roles requiring innovation, problem-solving, and cross-functional collaboration. The ISO 27001 certification also indicates a commitment to best practices and structured methodologies.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work and professional experience, tackling complex challenges like anomaly detection in OT environments and disease prediction. Their experience in leading on-site audits and managing project lifecycles suggests good organizational and leadership potential. The ability to work in a 24/7 SOC environment indicates resilience and operational readiness. Collaboration is evident through co-authored proposals and knowledge sharing initiatives.