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AI Engineer with 5+ years in Generative AI, MLOps, and Deep Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 5.2 years of experience in developing and deploying intelligent systems. Expertise in Generative AI, LLMs, MLOps, Deep Learning, and backend infrastructure. Proficient in Python and SQL, with a proven track record in architecting high-concurrency systems and building real-time data pipelines. Strong background in creating robust, traceable, and scalable AI solutions for complex operational challenges.
Muthoot Institute of Technology and Science
B.Tech · Computer Science (Artificial Intelligence)
November 1, 2020 – May 1, 2024
TATA ELXSI LTD
AI Engineer
December 1, 2024 – Present
Thiruvananthapuram, Kerala, India
TATA ELXSI LTD
AI Engineer
November 1, 2020 – May 1, 2024
Thiruvananthapuram, Kerala, India
WorkPulse
June 24, 2026 – Present
Served an XGBoost model via FastAPI with Celery + Redis async dispatch, maintaining sub-150ms latency end-to-end. Containerized the full stack with Docker and deployed to Azure VM via GitHub Actions CI/CD with Nginx reverse proxy. Enabled zero-downtime rollbacks using MLflow Model Registry with alias-based versioning. Stress-tested to 20 concurrent users with zero failures; monitored live health via Prometheus + Grafana.
View ProjectFramework for Sparse Generative Pre-Trained Transformer
June 24, 2026 – Present
Engineered a lightweight, versatile GPT framework from scratch using PyTorch implementing sparse attention mechanisms to reduce computational overhead. Achieved a 25% acceleration in training speed compared to standard GPT-2 architecture. Research accepted at ICMLBDA 2024 for SCOPUS-indexed SPRINGER Proceedings in Mathematics and Statistics.
Research accepted at ICMLBDA 2024 for SCOPUS-indexed SPRINGER Proceedings in Mathematics and Statistics.
SPRINGER Proceedings
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience with both academic research and practical industry projects (TATA ELXSI LTD, WorkPulse) demonstrates a versatile approach to problem-solving. The breadth of technologies used (PyTorch, TensorFlow, YOLO, FastAPI, Docker, Azure) indicates adaptability and a willingness to learn and apply diverse tools. The focus on real-time systems and robust deployments aligns well with a fast-paced, results-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight strong problem-solving skills, an ability to work with complex technical challenges, and a focus on performance and reliability. The detailed descriptions suggest good communication of technical concepts. The academic publication indicates a capacity for independent research and contribution to the field.