Jan 2023 – Present · 3 yrs 5 mos · New York, United States · On-site

• o   Delivered 10–15× acceleration of GPU‑based HPC and ML workloads on 10+ TB datasets using Dask/RAPIDS and Spark/RAPIDS across hybrid on‑prem and GCP clusters.
• o   Achieved 20× faster XGBoost training and 50× faster statistical modeling using Dask‑cuDF.
• o   Led cross‑functional product strategy with Engineering, Business, NVIDIA, and Google to build enterprise AI platforms that scale XGBoost and advanced modeling workloads.
• o   Developing RAG‑based GenAI systems (GPT‑5) to detect AMEX complaint‑handling errors, improving service quality and targeting a 50% reduction in CQAT workload; built agentic prompt‑optimization pipelines for complaint analytics.
• o   Built agentic AI workflows for automated RAPIDS–Dask image generation triggered by version changes, including automated XGBoost model validation to support MRMG approvals.
• o   Designed an Integer Programming optimization method that increased GPU‑cluster Utilization in Aida Swift and reduced costs by 10–15% relative to FIFO‑style greedy heuristics.
• o   Designing multimodal analytics pipelines using open‑weights Gemma‑4 LLMs, RAG models, and fine‑tuned variants to benchmark performance on internal test datasets.
• o   Awards: GDS Q1 Star Award (Excellence, 2025), AiDa Annual Team Award (Visionary Innovator, 2024)

Apr 2022 – Jan 2023 · 9 mos · Richmond, VA

• o   Pricing optimization models — Developed Bayesian and linear‑regression–based pricing optimization models for PepsiCo, increasing revenue through data‑driven price recommendations.
• o   Telematics Classification: Built an ML model using Word2Vec‑derived NLP features to classify Telematics Messages (anomalies) for better customer servicing in Hyundai/Kia.

Feb 2021 – Mar 2022 · 1 yr 1 mo · India

• Heading Data Science Delivery Practice in AI tower, Legato Health Technologies (Anthem Company) with 100+ data science team for Health Care Insurance Services for Anthem Health Care Insurance company.
• Building a Healthcare platform for supporting physicians to provide the AI-based consultation to Anthem insurance members
• Built Telehealth tool for scheduling consultations in a video conference with chatting, scheduler, and AI-based disease detection modules
• Developed different POCs based on advanced AI and computer visions techniques that provide the recommendation to Physicians
• Disease detection based on Pathology reports (Vitals information), X-Ray images and CT Scan images
• Automatic answering for frequently asked questions in Chat window using NLP techniques
• Video analytics to detect the patient expressions (anxiety detection) or disease detection based on fingernail images in live video
• Built real-time alerts to patients based on streaming data from Vital sensors attached to the patients, especially during the post-operative discharge period.
• Presenting the solutions to business stakeholders on current projects and improvise business engagement
• Preparing Statements of Work, budgets and presenting to business stakeholders for getting their approval on new projects

Jan 2018 – Jan 2021 · 3 yrs · Hyderabad Area, India

• o Leading Data Science Delivery Practice with 50+ data science team
• o Product development practice from building technical Architecture, development and its delivery management on technical aspects in IOT & Analytics
• o Key member in solutioning the analytics-based business cases in New business accelerator as part of corporate innovation strategy
• o Managing multiple projects in different Industry verticals - Aerospace Manufacturing, Energy, Utilities, Heavy Equipment, Communications and Oil & Gas
• o Applying ML Techniques for Forecasting link health in a communication Network; Reducing invalid truck rolls in automated alarm management in communication network;
• o Building Solution for Automation of different activities in GIS using Computer vision techniques - Road marking, Building Foot Print, Land cover & Land use on Satellite images; POI Extraction, Face and Number plate blurring on Mobile Mapping videos; Asset detection of 3D imagery from LiDAR data using PointNet and ML techniques(e.g., Vegetation Management)
• o Developed a tool for Text extraction by reading images of assets or by reading PDF/Scanned Image documents
• o Quantitative Analysis of Pupil Disorder in swinging light test using imagery ML Techniques
• o Fingerboard Monitoring to Enhance Rig Safety by processing the live videos using Deep learning
• Theyseenkrupp:
• Technical delivery and project management for Elevator failure prediction from Data Engineering to advanced predicting models in Azure Cloud Environment (Databricks,DataLake and ADF and automated CI&CD)
• · Building predictive maintenance algorithms and technician recommendation system on high-frequency data and ERP data that can alarm issues at an early stage of the occurrence.
• Pratt & Whitney USA
• Building solution for Aeroengine Combustion distress prediction to predict combustion issues in advance
• · Deployed the solution for the Prognostics team to diagnose the events in real-time

Dec 2016 – Jan 2018 · 1 yr 1 mo · Hyderabad Area, India

• o Heading Data Science/Analytics Business Unit
• o Key technical Role in Building Data Science/Analytics Business Unit
• o Scheduling algorithms and Advanced visual analytics to make optimal resource utilization for training activities in Aerospace Civil operators
• o Optimal Coal Procurement decision making algorithms for and Operational and Budgetary Planning for Metal Manufacturing companies
• o Developing PoCs on application of optimization and data science problems in aerospace, manufacturing and automotive domains.
• o Heading Product development practice from building technical Architecture, development and its delivery management on technical aspects

Jan 2015 – Nov 2016 · 1 yr 10 mos · Hyderabad

• Primary Focus on Solving Business Problems Using Data Science in different industrial domains
• > Oil&Gas; > Aerospace; Heavy Engineering; Manufacturing > Utilities (Power and Telecom Networks) > Medical Equipment > Transportation
• Playing major role in Business Development Initiatives & Pre-Sales Activities
• Trained 20+ Data Scientists to make them ready for Data Science Projects
• Technology Adviser for Building Big Data Analytics Services
• Experience in Developing Internet of Things (IoT) Analytics
• Key customers:
• Pratt & Whitney-Canada
• · Prediction of the spare parts consumption in the shop floor for scheduled and unscheduled forecasted shop inductions
• · Optimizing the leasing operations at strategic level –demand forecasting, at tactical level – capacity planning, and at the operational level –asset deployment and its maintenance planning.
• Pratt & Whitney-USA
• Prediction of Oil contamination events, high oil consumption in aero-engines based on operational and environmental data.

Nov 2013 – Jan 2015 · 1 yr 2 mos · Hyderabad Area, India

• Developing POCs based on different Analytical Concepts:
• 1. Statistical Analysis, Machine Learning Techniques- Basic and Advanced Levels
• 2. Operations Research - Large Scale Integer Programming, Meta-heuristics, Combinatorial Optimization
• Subject Matter Expert for Developing Treasure Hunt [Patented] Platform domain-
• TreasureHunt - Advanced Analytics Learning Portal based on simulating the experiences from the Real world business and Critical Scientific Knowledge Acquisition to reduce the lead time to become expert in Business Analytics Domain.

Aug 2009 – Nov 2013 · 4 yrs 3 mos · Hyderabad Area, India

• Founder of IoT(Internet of Things) Analytics Company
• Built and guided the Technical Team;
• Provided Data Science Services to multiple vendors in Supply chain
• Developed Technology Framework for IoT in connecting different and many Hardware, Software and Sensors installed to build Smart organization
• Provided Business Intelligence Analytics in Visualization Layer for the best use of various stake holders like Decision Makers, Managers and Users
• Gained Technical Excellence in Building Large Web Application for Smart organization
• Provided Prescriptive Analytics Services for Transportation and Finance Domain
• Trained Fresh Engineering Graduates as Data Scientists

Jan 2008 – Jul 2009 · 1 yr 6 mos · Hyderabad Area, India

• Responsibility: Developing Proof-of-Concepts for new products in Demand forecasting. Implementing OR module in the existing products related to airlines/aviation.
• Focus: Functional interface in developing optimization modules between Product Manager and Development/Testing teams.
• Optimization for one of the biggest Airlines in India:
• Formulating & Solving Crew scheduling problems using OR packages
• Studying Course scheduling problems in Training management system for Airlines.
• Simulation tool for Man power planning
• Demand Forecasting POC for a big FMCG company (as 3rd party analytics)
• Developed a successful Proof of Concept on Demand Forecasting based on the customer KPIs and got accepted by the client.

Sep 2006 – Jan 2008 · 1 yr 4 mos · Bengaluru Area, India

• Responsibility: Developing Proof-of-Concepts for new products in the area of Vehicle Routing problems.
• Focus: Doing research on optimization of vehicle routing problems for the human commutation in the real world scenarios
• Studying on various VRPs related to transportation of students/employees from Schools/offices to their residence locations.
• Formulated as mixed integer linear programming problems (MILP) and solved using optimization solvers like Lp_solve, CPLEX for small size problems.
• For practical size problems, the heuristics and meta-heuristics (such as Tabu search and Threshold acceptance) are proposed and successfully implemented.

Sep 2005 – Oct 2005 · 1 mo · Bangalore, India

• Scheduling problems in Grid Computing

Jul 2003 – Aug 2003 · 1 mo · Bangalore, India and Penang, Malaysia

• Scheduling Problems in Semiconductor Manufacturing
• 1. Visiting Intel Testing Plant @ Penang for Understanding Burn-in Oven Machines
• 2. Developed Algorithms to solve the specific problems.

Jan 2003 – Aug 2006 · 3 yrs 7 mos · India

• Developing algorithms using decision sciences