AI Engineer with 2+ years in AI/ML Solutions & MLOps
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AI Engineer with 2 years of experience building scalable AI/ML solutions across the full product lifecycle, from data pipelines and model training to production deployment and monitoring. Strong foundation in Data Structures, System Design, & Enterprise-grade security. Expertise includes designing enterprise AI platforms, deploying ML models for churn prediction, establishing MLOps pipelines, architecting real-time data pipelines, and building multilingual RAG systems. Recognised for improving efficiency and accuracy across various projects.
JNTU Hyderabad (MLRIT)
B.Tech · Computer Science and Engineering, Specialization in AI and ML
August 1, 2021 – June 30, 2025
SynaptyX AI
AI Associate
August 1, 2025 – May 1, 2026
India
SynaptyX AI
AI Apprentice
February 1, 2025 – July 1, 2025
India
BluOrigin Media
AI Engineer Intern
November 1, 2024 – February 1, 2025
India
Lamarr.tech
Data Science Intern
August 1, 2024 – October 1, 2024
India
Multi-Agentic AI Mental Wellness Platform
June 23, 2026 – Present
Architected a LangGraph multi-agent system with semantic routing, orchestrating Wellness Coach, Mood Analyzer, Journal Insights, Plan Generator, and Crisis Detector to deliver personalized mental health interventions across mood, journaling, and wellness planning. Engineered an AI Therapist with multi-layer memory semantic compaction, an in-memory wellness knowledge graph, and platform-wide context injection delivering DBT/CBT-informed responses over SSE streaming, targeting the 75% mental health treatment gap (WHO, 2025). Shipped end-to-end on Railway + Netlify with FastAPI, JWT auth, streaming inference, cross-platform analytics, and automatic crisis escalation demonstrating full ownership from agent design to production deployment.
RAG-Based Free Courses Assistant
June 23, 2026 – Present
Architected a state-of-the-art Retrieval-Augmented Generation (RAG) system for personalized free online course recommendations, employing hybrid search, All-MiniLM-L6-v2 embeddings, and Llama-3.3-70B for contextually rich LLM responses, improving user satisfaction and engagement. Designed an intuitive Streamlit chatbot interface with user-specific storage, deployed on Hugging Face Spaces, and integrated Pinecone Vector DB for efficient querying, resulting in optimized recommendations.
Snowflake Certified in SnowPro Associate - Platform
Snowflake
May 1, 2026 – Present
Anthropic Certified in Claude Certified Architect Foundations
Anthropic
April 1, 2026 – Present
Microsoft Certified in Azure AI Fundamentals (AI-900)
Microsoft
May 1, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an AI Engineer role, particularly in an innovative and fast-paced environment. Their diverse project portfolio, ranging from mental wellness platforms to enterprise AI marketplaces and conversational analytics, showcases adaptability and a broad interest in applying AI solutions. The candidate's experience across multiple companies (SynaptyX AI, BluOrigin Media, Lamarr.tech) and participation in competitive events (E-Merge, Mahindra SYMPOSIUM, Google Cloud Arcade) indicate a proactive, learning-oriented, and competitive spirit. The certifications (Azure AI, Snowflake, Anthropic Claude) further highlight a commitment to continuous learning and staying current with industry trends. The remote work experience also suggests self-discipline and effective independent work.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, ownership, and collaboration skills through their project descriptions (e.g., resolving data anomaly incidents, partnering across teams, full ownership from agent design to production). Their experience in establishing MLOps pipelines and ensuring high uptime indicates a focus on operational excellence and reliability. The candidate's involvement in competitive achievements also suggests a proactive and results-oriented mindset.