Headline

Senior Software Engineer | Applied AI & Backend Engineering | Building scalable backend systems and production-grade AI | M.Tech AI & ML, BITS Pilani

About

Software Engineer focused on backend engineering, applied AI, and cloud-native systems, with 6+ years of full-time experience building scalable software across healthcare, life sciences, enterprise platforms, and manufacturing domains. I am fluent across Python, Java, and Node.js, and hold an M.Tech in AI & ML from BITS Pilani and a B.Tech in Computer Science from SRM University. My expertise spans backend microservices, distributed systems, AI-enabled workflows, LLM-based information extraction, evaluation-driven development, and production-grade cloud platforms using AWS ECS/EKS, Kubernetes, Terraform, CI/CD, observability, and performance testing. Currently, I serve as a Member of Technical Staff at athenahealth, where I work on clinical document-processing workflows involving OCR, LLM-based entity extraction, LangGraph workflows, evaluation pipelines, and Java/Python orchestration services. My work focuses on improving extraction accuracy, validating changes through dataset-driven evals, and supporting reliable rollout of AI-enabled product workflows. Previously at Saama, TCS, and Nokia, I worked on platform engineering, identity and access systems, configurable data integrations, Workday payroll integrations, backend services, computer vision, OCR, and Industry 4.0 automation. I am passionate about building practical AI systems that solve real workflow problems, scaling backend platforms for reliability and performance, automating quality gates, and creating transparent, measurable, production-ready software systems.

Location

Chennai

AI stack

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Work experience

Member of Technical Staff at athenahealth, Jan 2025 - Present · 1 yr 10 mos, Hybrid, Role Scope: I work on backend, applied AI, and cloud-native product engineering across healthcare workflows, including document-processing systems, OCR/LLM extraction, Java/Python orchestration, and high-volume backend microservices. Applied AI & Hybrid Extraction: I work on production document-processing workflows involving OCR + text-based LLM extraction, image-input vision model extraction, LangGraph workflows, prompt improvements, post-processing logic, entity-resolution rules, and eval-driven quality improvements. Evaluation-driven Development: I investigate extraction issues from bug reports and dashboards, query Snowflake to identify golden datasets, run baseline and regression evals, and validate that prompt, logic, or workflow changes improve accuracy without degrading stable document flows. LangGraph Workflow Development: I build and extend LangGraph-based entity-extraction workflows, including new entity paths beyond the existing set. Backend Orchestration: I contribute to a Spring-based Java orchestration microservice that coordinates with Python extraction services and legacy systems for production document extraction workflows. High-scale Backend Microservices: I co-owned a server-side print microservice at multi-million-request-per-day scale, supporting scalability, release safety, performance, and production reliability. AI-enabled Dark Launch Validation: I built and improved a dark-launch validation framework comparing current and next-version service behavior, increasing release confidence and reducing validation cycles from 30 days to 1 day. Cloud-native Modernization: I contributed to modernization across AWS ECS/EKS, Kubernetes, Terraform, CI/CD, and internal platform standards, improving scalability, deployment consistency, and maintainability. Production Readiness: I supported performance testing, observability, incident playbooks, rollout validation, and SLO-aligned improvements for safer operation at scale.

Software Engineer at Saama, Apr 2023 - Jan 2025 · 1 yr 10 mos, Chennai, Tamil Nadu, India, Role Scope: I worked on platform engineering and backend services for enterprise life-sciences products, including identity, access management, configurable integrations, audit workflows, and applied AI prototypes. SSO & Identity Platform: I standardized SKU onboarding to a Keycloak-based SSO platform, automating RBAC and client provisioning and reducing onboarding effort across product teams. Enterprise IdP Integrations: I explored and validated SAML/OIDC integrations with enterprise IdPs including Microsoft Entra ID, Okta, OneLogin, and PingFederate to support customer identity requirements. RAG-based Incident Retrieval: I built a Jira-connected RAG assistant using LlamaIndex, OpenBioLLM, PGVector, and Gradio to retrieve similar incidents, surface KB/runbook context, and support faster triage. Platform Services: I contributed to audit, task-management, and shared backend services adopted across SKUs, improving traceability and workflow consistency. Modernization: I led a Java 11 to Java 17 upgrade spike for the SSO codebase, validating compatibility, dependency impact, and feature retention.

Associate Software Engineer at Saama, Nov 2021 - Mar 2023 · 1 yr 5 mos, Chennai, Tamil Nadu, India, Role Scope: I built configurable data integrations, internal platform tooling, and reusable validation workflows before contributing to the Platform Engineering function. Configurable Outbound Integrations: I delivered configurable outbound connectors using Python, Flask, Kafka, PostgreSQL, Jinja templates, and Airflow-style workflows, reducing customer onboarding effort and making deployments repeatable. Multi-tenancy & Ops Tooling: I added multi-tenant support and an internal writeback status/retry UI that improved visibility into integration failures and reduced engineering escalations. Quality Automation: I created sanity-check suites and repeatable validation workflows that kept demo and POC environments stable for Sales and Solution Engineering teams. Platform Foundation: I contributed to reusable backend patterns, configuration-driven workflows, and internal tooling that helped standardize delivery across customer accounts.

Assistant System Engineer at Tata Consultancy Services, Aug 2020 - Nov 2021 · 1 yr 4 mos, Remote, Role Scope: I implemented Workday PECI integrations for global payroll vendors including PwC, ADP, and NGA across 80+ countries, coordinating with HRIT, payroll, and vendor teams from testing to go-live. Integration Delivery: I designed country-specific PECI mappings that aligned Workday worker data with vendor specifications and supported end-to-end validation with payroll stakeholders. Automation: I built Python utilities to extract representative datasets, profile fields, and validate integration readiness against vendor specification documents, reducing manual rework. Delivery Consistency: I created reusable checklists, SOPs, and validation templates so new country rollouts followed a consistent implementation process.

Manufacturing Solutions Engineer at Nokia, Jun 2020 - Aug 2020 · 3 mos, Kanchipuram, Tamil Nadu, India, Role Scope: I built analytics and backend components that supported COVID-19 safety operations and RFID-based telemetry in a manufacturing setting. Contact Tracing Analytics: I developed a Streamlit dashboard that visualized proximity and exposure windows for employees, enabling rapid identification of likely contacts and faster response by the safety team. RFID IoT Backend: I contributed to a Node.js REST API that ingested events from vehicle-mounted RFID devices and persisted them in SQL Server with input validation and reliable storage patterns. Cloud Deployment: I packaged and deployed applications using Azure App Service, enabling repeatable releases and straightforward rollbacks during frequent updates. Data Integrity and Access: I added basic data checks and role-based views to improve accuracy and limit access to sensitive information.

SDE Intern at Nokia, Jun 2019 - May 2020 · 1 yr, Oragadam, Kanchipuram, Role Scope: I built line-side utilities and prototype apps with Python and .NET in collaboration with operators. Computer Vision QA: I implemented OpenCV template matching on a live camera feed to flag misalignment and defects, tuned ROIs, thresholds, and debouncing to reduce noise, and packaged a small utility for the line. Industry 4.0 AR: I developed an augmented reality prototype for warehouse operations that improved pick and location guidance and supported Industry 4.0 readiness. Label Scanning to SAP: I implemented automated camera-based label scanners using OCR and OpenCV and integrated them with SAP data entry through a Node.js service, which reduced manual typing and sped up line operations. Docs and Enablement: I documented setup steps, calibration guidance, and failure modes so non-ML users could maintain the tools.

Summer Engineering Intern at Nokia, Jun 2018 - Jul 2018 · 2 mos, Tamil Nadu, India

Education

Master of Technology - MTech, AI & ML, Birla Institute of Technology and Science, Pilani

Bachelor of Technology, Computer Science and Engineering, SRM IST Chennai