Building scalable AI systems that bridge research and real-world impact

I'm an applied AI engineer focused on building production-grade intelligent systems — from multi-agent architectures and LLM orchestration to speech pipelines and scalable backends.

Currently working on applied AI research and systems at Amazon. Previously built and shipped AI products at Techolution and contributed to academic research at IIT Hyderabad, with a presentation at CEEC 2024 (San Diego State University).

I operate at the intersection of AI systems engineering, backend infrastructure, and research — with a track record of winning competitive hackathons and shipping systems that work at scale.

AI Systems & Multi-Agent Architecture — Designing orchestration layers, agent pipelines, and LLM-powered workflows that are reliable and production-ready.

Speech & Language Pipelines — Building end-to-end TTS, STT, and VAD systems with focus on latency, accuracy, and real-world deployment.

Backend & Scalable Infrastructure — Designing APIs and distributed systems that hold up under real load with clean architecture.

Research-to-Product — Translating academic methods into deployable systems — from lean startup frameworks to AI-native applications.

Applied Scientist Intern — Amazon Jan 2026 – Present

• Working on applied AI systems and scalable solutions across Amazon's science org
• Focused on bridging research-stage methods with production-ready implementations

Generative AI Intern — Techolution May 2025 – Jan 2026

• Built end-to-end speech pipelines (TTS, STT, VAD) with measurable latency improvements
• Designed and implemented multi-agent systems with LLM orchestration for real-world workflows
• Built RAG pipelines and backend APIs serving production traffic
• Improved system reliability and reduced response latency across core services

Research Intern — IIT Hyderabad Sep 2023 – Jul 2024

• Conducted research on Lean Startup methodology and Design Thinking applied to deep-tech ventures
• Presented findings at CEEC 2024, San Diego State University

Intern — T-Hub | AIC IIIT Kottayam | RA Services 2022 – 2024

• Exposure across startup ecosystems, innovation programs, operations, and strategic partnerships
• Supported early-stage ventures across incubation and growth phases

Languages — Python, Java, C, C++, JavaScript, HTML, CSS

AI / ML — TensorFlow, PyTorch, Hugging Face, LangChain, Google ADK, RAG, Multi-Agent Systems, Speech Processing (TTS / STT / VAD), Prompt Engineering

Cloud — AWS (EC2, S3, CloudFront, VPC, Lex, EBS, EFS, DynamoDB), GCP

Full Stack — React, Node.js, Express.js, MongoDB, REST APIs, FastAPI

Databases — SQL, MongoDB, Neo4j

Tools — Git, Docker, Figma, Nvivo, Citavi

• Google Professional Cloud Developer — Google Cloud
• Google Professional Machine Learning Engineer — Google Cloud
• Google Generative AI Leader — Google Cloud

• SIH 2024 Winner — Smart India Hackathon, national-level competition
• 3x National Hackathon Winner — Consistent top finishes across AI/ML and systems tracks
• CEEC 2024 — Research presentation at San Diego State University
• 450+ LeetCode Problems — Strong foundations in DSA and problem solving