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Assessing your cultural and operational fit
AI Engineer with 2+ years in NLP, RAG pipelines & MLOps
Resourceful AI Engineer with 1+ years of experience developing and deploying AI/ML models, specializing in NLP and RAG pipelines. Proven ability to build production AI services using Python, FastAPI, and LLM APIs (OpenAI, Google, Anthropic), integrating vector databases and agentic frameworks like LangGraph and CrewAI. Successfully reduced manual effort by 15-20 hours weekly and increased model reliability by 20-25%. Eager to leverage expertise in end-to-end AI solutions to drive innovation at Gravity Engineering Services Pvt Ltd.
Sathyabama Institute of Science and Technology
B.E. · Computer Science (AI Specialization)
August 1, 2019 – June 30, 2023
Keshava Reddy Residential School
Secondary School Certificate (SSC)
June 1, 2016 – May 31, 2017
ASTRAN TECH SOLUTIONS PVT LTD
AI Engineer
July 1, 2023 – Present
Hyderābād, Telangana, India
Smart Bridge Machine Learning Project Completion Certificate
Unknown
June 1, 2026 – Present
Data Structures and Algorithms using C and C++, Udemy
Udemy
June 1, 2026 – Present
HCL Project Completion Certificate
HCL
June 1, 2026 – Present
Complete Machine Learning & Data Science Bootcamp
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience aligns well with an AI Engineer role, showing a clear focus on AI/ML development and deployment. Their interest in continuous skill development and machine learning research indicates a proactive and growth-oriented mindset. The breadth of skills, including various AI/ML frameworks, MLOps tools, and database technologies, suggests adaptability and a willingness to learn new technologies. However, the lack of diverse project experience outside of their current role limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their ability to reduce manual effort and improve system reliability. Their focus on test coverage and MTTR reduction indicates a commitment to operational excellence and system resilience. The experience with modular development and fostering reuse suggests good collaboration potential and adherence to best practices.