Headline

Engineering @Athma

About

AI-focused Software Engineer with 5 years of experience building intelligent and scalable backend systems. I specialize in developing AI-driven solutions using Azure OpenAI, LangChain, RAG, NLP, cognitive search, and OCR (Azure Document Intelligence) to automate complex workflows in healthcare and business domains. I’ve designed AI pipelines for invoice processing, EMR chart summarization, and conversational voice agents (VAPI, Twilio, n8n), and fine-tuned LLaMA models (LoRA/QLoRA) for domain-specific intelligence. On the backend side, I build robust microservices and REST APIs with Java, Spring Boot, and Python, leveraging PostgreSQL, Redis, and Kafka for high-performance data processing, multithreading, and event-driven architectures. I’m passionate about merging AI and backend engineering to create automation that enhances efficiency, decision-making, and scalability across enterprise systems.

Location

Bengaluru

AI stack

claude code

cursor

elevenlabs

github copilot

langchain

langgraph

Work experience

Software Engineer at Narayana Health, Jan 2024 - Present · 2 yrs 11 mos, Hybrid, Leveraging the power of LLMs and conversational AI to automate workflows and enhance healthcare and business operations. Building RAG pipelines and AI-powered voice systems to help professionals make informed decisions, save time, and improve efficiency. Key Projects & Achievements: 1. AI-Powered Conversational Voice Automation Platform : Built a production-grade conversational AI platform that automates hospital post-surgery follow-up calls using voice agents. Implemented event-driven scheduling, multi-tenant backend architecture, structured AI output extraction, webhook automation (n8n), and telephony integration (Twilio + ElevenLabs). Designed scalable PostgreSQL session tracking and human-in-the-loop review workflows for compliant AI-driven patient engagement 2. Conversational AI Appointment Booking: Built a telephonic AI agent using VAPI, Twilio, and n8n to schedule appointments through natural conversations, check real-time availability, send confirmations and reminders, and integrate seamlessly with backend systems. 3. Automated GRN Processing: Designed an AI-OCR system to extract invoice details from 500+ vendor formats, achieving 95% accuracy and significantly reducing manual warehouse data entry. 4. AI Patient Summary: Implemented an AI-driven system using Azure Cognitive Search and RAG to generate concise patient summaries for quick access to key medical history. 5. AI-Powered Charting: Developed a system leveraging Whisper to transcribe doctor-patient consultations and automatically structure data (complaints, allergies, medications) into EHRs, streamlining workflows. 6. AI-Generated Discharge Summary: Automated discharge summary creation using RAG, reducing doctors’ documentation time while generating structured reports for review.

Senior Product Engineer at LTI - Larsen & Toubro Infotech, Aug 2021 - Dec 2023 · 2 yrs 5 mos, Built scalable, multi-tenant applications and enhanced automation capabilities, enabling seamless data management and security across platforms. 1. Implemented Multitenancy Capability using Spring Boot (SQL & NoSQL) for JORITZ applications, securing authentication & authorization via Keycloak. 2. Developed REST APIs using Spring Boot for CI SMART ANALYTICS, improving data processing and analytics. 3. Designed & built ‘Object Management’ module from scratch, allowing users to view and manage Braio (automation tool) objects in a unified interface. 4. Enhanced Object Management by implementing searching, filtering, and permission controls, along with hierarchical views, actions, and properties. 5. Introduced a script editor feature, enabling customers to write and execute scripts within the system. 6. Provided technical support for Braio, assisting in multiple demos and customer implementations. Led system upgrades, successfully migrating Braio modules from Ga-07 to Ga-31. 7. Trained and mentored new employees, conducting Core Java sessions and assessments.

Graduate Engineering Trainee at LTI - Larsen & Toubro Infotech, Feb 2021 - Jul 2021 · 6 mos, India, Optimized system performance and modernized applications through platform upgrades, monitoring solutions, and technical training. Successfully migrated Braio modules from Liferay 7.0 to 7.4, enhancing system stability and feature capabilities. Developed a Monitoring Tool to perform basic health checks for Windows systems, improving system reliability. Received hands-on training in Core Java, Liferay Development, HTML/CSS, JavaScript, PowerShell, and Python. Completed IT Foundations training, strengthening knowledge of system architecture and software development best practices.

Intern at Crio.Do, Feb 2020 - Apr 2020 · 3 mos, India, 1. Built a secured file-sharing solution for enterprise networks. 2. Built a personal stock portfolio analysis and recommendation platform. 3. Learned and Practiced Algorithm problems in a structured way.

Internship at Entuple Technologies Pvt. Ltd., May 2019 - Jul 2019 · 3 mos, banglore, 1. Algorithms designed for the wavect for the applications of drives controller. 2 . Tested generated codes with the hardware. 3. Worked with ansys maxwell software for finding new ways of techniques for the real applications using electric, magnetic and transient solver.

Intern at IIT Bombay CADSL, May 2018 - Jul 2018 · 3 mos, Mumbai Area, India, I did my intern on embedded system under the guidance of Prof-Virendre singh. I got the command in microcontroller(PT-51), C programming for embedded system,KEIL software programming,Serial ports, UART protocol,SPI protocols,LCD interfacing and Keypads. i had also done few mini projects like 1.text message generator 2. calculator using pt-51,LCD and keypad. 3. digital clock and one major project as Electronic weighing scale using load sensor,pt-51.lcd etc.

Education

Bachelor of Technology, Electrical and Electronics Engineering, IIT Jammu

12th, non medical, jnv kargil