AI Engineer with less than a year in Data Engineering & LLM Development
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I'm an AI/ML Engineer at the intersection of building and shipping – drawn to where intelligent systems create real operational leverage. My interests span Sales Ops automation, MLOps pipeline design, and LLM agent development, and I'm most energised when those converge into AI systems that actually go to production and move a number. I don't just prototype – I follow through the full lifecycle. That builder-first, outcome-obsessed mindset is the standard I hold myself to.
Hindusthan Institute of technology
B.Tech. · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Servicenow
Data Engineer Intern
June 1, 2025 – August 1, 2025
Hyderābād, Telangana, India
Genie Recorder - End-to-End AI Sales Intelligence Platform
June 1, 2026 – Present
• Built a cross-platform desktop app using Tauri (Rust) and React that records dual-track system/mic audio, processing it through a bundled Whisper STT executable sidecar. • Fine-tuned and deployed Salenie-Phi4-v1 on HuggingFace/Modal Cloud (A10G GPU) to extract structured deal metrics, sentiment scores, and next steps from voice transcripts. • Developed automated integration pipelines saving raw media to cloud object storage (S3/Azure Blob) and executing direct analytical data inserts into Snowflake and ClickHouse.
QueryForge - SQLite MCP Server & Dashboard Automation Tool
June 1, 2026 – Present
• Agentic BI Automation: Engineered a read-only Model Context Protocol (MCP) server that translates natural language into optimized SQL queries, enabling LLMs to autonomously generate, deploy, and hot-reload Streamlit dashboards. • Protocol-Level Security: Architected a strict read-only enforcement layer at the protocol level to guarantee zero risk of data mutation during exploratory database analysis. • Integrated automated process lifecycle management for the dashboard server-handling dynamic port allocation, hot-reloading
NyayaSetu - AI-Powered Civic Petition Platform
January 1, 2026 – Present
• Built an AI pipeline to classify civic petitions by urgency using SentenceTransformer + SVC, enabling prioritization of citizen reqs • Generated synthetic data samples using LLM-assisted data augmentation to expand underrepresented urgency classes • Designed and deployed REST APIs (FastAPI) for petition submission, tracking, and real-time inference • Implemented multilingual processing with language detection and translation to support diverse user inputs
Microsoft Certified: Azure Fundamentals(AZ-900)
Microsoft
June 2, 2026 – Present
ARTIFICIAL INTELLIGENCE COURSE
RINEX TECHNOLOGIES
June 1, 2026 – Present
BUSINESS INTELLIGENCE USING POWERBI
SKILL NATION
June 1, 2026 – Present
DIPLOMA IN DATA SCIENCE AND MACHINE LEARNING
LMES ACADEMY
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse range of applications for AI, from sales intelligence to civic petition platforms and BI automation, indicating a broad interest and adaptability. The academic project 'NyayaSetu' also suggests an interest in socially impactful applications of AI. The internship at Servicenow, a large enterprise, combined with personal projects, suggests an ability to work in different environments. The breadth of skills listed (programming languages, ML frameworks, DevOps, data technologies) further supports a good cultural fit for a dynamic AI engineering role.
Soft Skills & Operational Fit
The candidate demonstrates a 'builder-first, outcome-obsessed mindset' which aligns well with a fast-paced, results-driven environment. Their project descriptions highlight problem-solving, architectural thinking, and collaboration (e.g., 'Collaborated with cross-functional teams' in internship). The focus on full lifecycle development from prototyping to production indicates a strong operational fit.