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AI Engineer with 2+ years in Machine Learning & Generative AI
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/ML Engineer with 2+ years of hands-on experience designing, developing, and deploying machine learning models and AI-driven solutions. Proficient in Python, TensorFlow, PyTorch, scikit-learn, and LangChain. Experienced in NLP, computer vision, deep learning, and Generative AI. Skilled in building REST APIs with FastAPI, containerizing workloads with Docker, and orchestrating ML pipelines with Apache Airflow. Microsoft Certified Azure AI Engineer with proven ability to deliver production-ready, well-documented AI/ML solutions for enterprise clients.
Government Engineering College Idukki
B.Tech · Computer Science and Engineering (Honors: Machine Learning)
August 1, 2020 – June 30, 2024
lowtouch.ai
AI/ML Engineer
December 1, 2024 – Present
India
Kasava
Junior AI Engineer
July 1, 2024 – November 1, 2024
India
Saptang Labs Private Limited
Machine Learning Intern
April 1, 2023 – June 1, 2023
India
RFP Management Platform (AI-Powered)
June 24, 2026 – Present
Built a full-stack multi-tenant platform for managing Request for Proposal documents with automated Q&A generation, LLM-based answer regeneration, and 13 Airflow DAG pipelines. Stack: React 19, FastAPI, Apache Airflow, ReAct agents, Keycloak SSO, Docker. Demonstrates end-to-end AI pipeline design and deployment.
Compass - Executive Relationship Management (ERM)
June 24, 2026 – Present
Developed an AI-driven ERM platform with relationship drift scoring, calendar-driven analytics, geo-query intelligence, and an AI interaction classifier using ReAct agents. Stack: Next.js 15, TypeScript, FastAPI, PostgreSQL, Apache Airflow, Docker.
Video Recognition System (Pravartak Fellowship)
June 24, 2026 – Present
Built an intelligent video analysis tool using YOLO and VGG19 deep learning models to detect objects and events in lengthy videos. Optimized for performance via multiprocessing and deployed as a scalable FastAPI service.
Person Re-identification System
June 24, 2026 – Present
Built a deep learning model using ResNet50 for cross-camera person identification and categorization, exposed via a FastAPI REST API interface.
Azure AI Engineer Associate
Microsoft
January 1, 2024 – January 1, 2025
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research (Person Re-identification, Video Recognition) to professional, enterprise-level AI platforms (RFP Management, Compass ERM), indicates adaptability and a broad interest in applying AI across different domains. The experience with various technologies and frameworks, coupled with a certification in Azure AI, shows a proactive approach to learning and skill development. This breadth of experience and continuous learning mindset aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate strong problem-solving abilities, particularly in designing complex AI systems and optimizing performance. The involvement in multiple professional and academic projects, including leadership roles in IEEE, suggests good initiative and potential for collaboration. The detailed descriptions of deployed systems imply a focus on practical, production-ready solutions.