Dec 2021 – Mar 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India

• Worked as an AI Framework Solutions Engineer and Evangelist, accelerated edge AI inference with frameworks using deep learning, computer vision and NLP on Intel high performance compute devices. Worked closely with product engineering, senior management, developer relations and marketing teams.

Aug 2021 – Dec 2021 · 4 mos

• Lead efforts in building a scalable, high performance and extensible NLP-based medical oncology platform to enable entity recognition, relationship tagging and data enrichment inferencing on text snippets and medical documents.
• Built scalable MLOps platform framework for deploying and operating models in production. Designed Pipeline Orchestration, multi-env and multi-container workflows, Annotations Capture, Data/Model Drift, Impact Analytics, Performance Monitoring, Logging etc.
• Worked closely with engineering, NLP scientists, ML engineers, product management, data engineers, statisticians, QAs, and clinical SMEs. Tech stack included Python, FastAPI, OCR, BERT, CRF, LSTM, XGBoost, NER-horizontal models, AWS ECR, Lambda, Sagemaker, Glue, Fargate, EFS

Apr 2020 – Jul 2021 · 1 yr 3 mos

• ConcertAI (Real World Evidence Healthcare AI company)
• Highest growth vertical, carved out of SymphonyAI group, as an independent legal entity
• Worked on building platform accelerators for end-to-end digital clinical trial solutions using AI SDKs. Handled scalability aspects of data sciences applications (e.g., sparse arrays, model serialization, caching) and built transformations of data pipelines into the feature store using different ML architecture patterns operable in cloud environments. Contributed to image processing, time varying analysis, anomaly detection and ML-based imputation techniques.

Jan 2019 – Mar 2020 · 1 yr 2 mos

• Joined SymphonyAI's Healthcare AI Startup (https://www.linkedin.com/company/symphonyai/)
• Built from scratch, designed, implemented, and owned key components of High performance Real-World Evidence ML-powered Data Analytics Platform for Oncology Research. Product framework included patient journey visualizations, clinical statistical analysis, semantic search, ML model productization and scaling them in low-latency settings. Tech stack included Python, XGBoost, SQLAlchemy, Elasticsearch, AWS, Flask, Redshift, concurrent futures, Thread/Process Pool, gunicorn, nginx, Kubernetes, Caching, Task Manager

Oct 2017 – Jan 2019 · 1 yr 3 mos

• Worked on micro-services architecture, breaking monolithic C/C++ codebase into smaller, reusable components easier for cloud deployments of fare and pricing engine. Implemented innovative analytics and ML solutions as part of travel intelligence products for better visualization of KPIs around airport slots, wait times, passenger satisfaction and schedules recovery systems. Technology stack used is C++, Python, clang, LLVM, AST parsers, Pandas, Docker and protobuf

Oct 2014 – Oct 2017 · 3 yrs

• Due to enormous growth in ticket bookings and to boost performance, built C++ based product for migrating airline transactional data from two databases instances/peaks to multi-peak architecture and support a real-time processing with traffic routing. Lead efforts on automation innovations for SQL-based report extraction based on Python and data analytics.

Jun 2013 – Oct 2014 · 1 yr 4 mos

• Developed new e-ticket search platform, implemented product enhancements and performance tuning for Amadeus ticketing backend. Onboarded Japan airlines & South-West airlines on Amadeus suite of ticket booking services interacting with the multi terabyte online and warehouse database. Technology stack included C++, Python, SQL, gcov, gdb, Valgrind, Git and Jenkins

Oct 2011 – May 2013 · 1 yr 7 mos

• Worked on development and enhancement of inventory transactions, supply chain product evolution, developing new automation modules and driving process enhancements for the worldwide inventory management system of Intel Corporation. Technology Stack included Python, Unix Shell Scripting, SQL & PL/SQL, Oracle & Data Warehouse.

Nov 2010 – Sep 2011 · 10 mos

• Worked on application development for global insurance management system of Allianz Life, North America. Was responsible for development, process enhancements and automation of many scheduled aggregations/reporting of financial transactions. Technology Stack included Unix Shell scripting, RDBMS, SQL & PL/SQL

Aug 2010 – Nov 2010 · 3 mos

• Joined my professional career as a trainee in TCS ILP (Initial Learning Program) center at Techno Park, Trivandrum. Got trained in C++, Python, Unix Shell Scripting, SQL and PL/SQL.

Jan 2010 – Aug 2010 · 7 mos · Hyderabad, Telangana, India

• IEEE Research Paper published in CICN conference, Bhopal.
• Proposal included an energy efficient cognitive, mobility-aware routing protocol for wireless sensor networks with a major aim of increasing the lifetime of the network. It uses the concept of leveling, sectoring and clustering. Dissemination of data from mobile source to static base station is performed in such a way that the energy loss in finding a route is decreased to minimum.