Help & Supportcareers@gravityer.com
MLOps Engineer with 2+ years in AI & Cloud 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
AI & MLOps Engineer specializing in building scalable machine learning systems, multi-agent LLM workflows, and automated cloud data pipelines. Proven experience track record at Caterpillar Inc. delivering high-accuracy anomaly detection models over massive telematics infrastructure and engineering reliable data pipelines. Strong background in utilizing production architectures across AWS ecosystems and Snowflake cloud database management.
Indian Institute of Technology, Madras
Diploma · Programming and Data Science
August 1, 2021 – June 30, 2025
PSG College of Technology, Coimbatore
MSc · Software Systems
August 1, 2020 – June 30, 2025
Caterpillar Inc.
Data Scientist
July 1, 2025 – Present
India
Caterpillar Inc.
Data Scientist Intern
January 1, 2025 – June 1, 2025
India
RootQuotient Technologies
Software Developer Intern
May 1, 2023 – November 1, 2023
India
AI-Powered Personalized News Digest (Agentic RAG)
June 18, 2026 – Present
• Engineered an end-to-end agentic news ingestion platform using LangGraph and Groq (Llama-3.3-70B) that dynamically fetches, de-duplicates, and surfaces 30-40 articles across 7 domains per cycle with Qdrant vector retrieval. • Built interactive evaluation sub-agents (quiz and structured debate feedback workflows) to drive active reading engagement.
View ProjectCricket Strategizer (Domain-Specific NLP)
June 18, 2026 – Present
• Developed a cross-platform mobile app (Flutter + Flask) that fine-tuned Hugging Face Transformers via transfer learning to interpret complex, natural language queries regarding contextual cricket statistics.
View ProjectStock Market Time Series Research
June 18, 2026 – Present
• Built a unified simultaneous forecasting engine (statsmodels, pandas, SciPy) to predict closing prices for all constituent companies in the BSE Auto and Bankex indices; documented methodology in an IEEE-style research paper.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including agentic RAG, domain-specific NLP, and time series research, indicates a strong curiosity and a drive for continuous learning, which are positive cultural attributes. The experience at Caterpillar Inc. in both intern and full-time roles, focusing on high-scale systems and organizational adoption, suggests an ability to integrate into structured environments and deliver tangible results. The blend of academic pursuits (MSc and Diploma) with practical industry experience shows a well-rounded profile suitable for a collaborative and innovation-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and a proactive approach to infrastructure automation and data observability. The experience in developing agentic AI systems and high-scale anomaly detection pipelines suggests an ability to work on challenging, impactful projects. The candidate's project diversity indicates adaptability and a willingness to explore different technical domains.