Generative AI Engineer with 1+ years in Cloud & AI applications
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Assessing your cultural and operational fit
Cloud and Generative AI Engineer with hands-on experience building cloud-native GenAI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable APIs. Strong foundation in AWS cloud infrastructure, DevOps practices, and AI-driven business solutions. Proven ability to design secure, scalable, and production-ready systems. Seeking entry-level Cloud Engineer or AI Engineer roles.
M S Engineering College, Bangalore
Bachelor of Engineering (B.E.) · Computer Science Engineering
N/A – June 30, 2025
Morarji Desai Residential PU College
PUC
N/A – May 31, 2020
Morarji Desai Residential School
SSLC
N/A – May 31, 2018
Capillary Technologies
Engineer - IT
February 1, 2025 – Present
India
AI Sales Intelligence & Deal Acceleration Platform (GenAI)
June 19, 2026 – Present
Built a GenAI platform to analyze CRM data, sales calls, and emails using LLMs to extract buyer intent and risk signals. Implemented deal win-probability scoring and AI-driven next-best-action recommendations via FastAPI. Impact: Increased deal win rate by 15-20% and reduced sales cycle time by ~25%.
Generative AI Compliance Assistant (RAG)
June 19, 2026 – Present
Designed a RAG system for SOC2 and GDPR compliance analysis using semantic chunking and vector retrieval. Generated audit-ready, hallucination-free compliance reports.
Amazon Prime Clone Deployment (DevSecOps)
June 19, 2026 – Present
Designed scalable AWS architecture with monitoring and logging. Built CI/CD pipelines using Jenkins and Docker with SonarQube and Trivy security scans.
Deepfake Detection System (AI/ML)
June 19, 2026 – Present
Developed CNN and LSTM-based models to detect manipulated media. Performed data preprocessing, model training, and accuracy tuning.
Cultural Fit Analysis
The candidate demonstrates a strong interest in cutting-edge technologies like Generative AI and DevOps, which aligns with an innovative and forward-thinking culture. The diversity of projects, from AI Sales Intelligence to Deepfake Detection and DevSecOps, indicates a broad technical curiosity and willingness to tackle different challenges. The candidate's current role as an 'Engineer - IT' at Capillary Technologies, starting in Feb 2025, suggests a proactive approach to career development, although the experience is very recent. The candidate is still pursuing a Bachelor's degree, which might indicate a learning-oriented mindset, but also implies limited professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems and deliver solutions with tangible business impact. The experience in troubleshooting production issues and collaborating with platform/DevOps teams suggests a practical, problem-solving mindset. However, without direct assessment data, specific soft skills like teamwork, leadership, or communication in a collaborative setting cannot be fully evaluated.