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Executive Summary

Entrepreneurial-spirited, pioneering technologist with executive-level experience identifying, qualifying, building consensus for, and implementing enabling technologies and enterprise systems that facilitate business processes and strategic objectives. Powerful blend of technology vision and business acumen results in consistent development of powerful business strategies supported by cost-effective, high-performance IT infrastructures and applications. Broad expertise in data extraction, information extraction, search technologies, deep learning and IT architecture/infrastructure design, full project life cycle management, client/vendor relationship management, and financial/operational management. Hardworking, self-starter with excellent analytical, problem-solving and communication skills. Over fourteen years of experience in software design and development.

  • Broad and extensive knowledge of the software development process and its technologies
  • Deep understanding of technology with focus on delivering business solutions.
  • Diversified background in operations and engineering management; distinguished for an entrepreneurial mindset, creative problem solving, cross-functional teams and a bottom-line orientation. 
  • Motivator and coach combining business acumen with analytical depth to align operational efficiencies with corporate goals.

Core Accomplishments

IT Systems 

  • Pervasive AI (Patent pending - Primary Inventor): Conceptualized and implemented a solution which automated the end-to-end process to make Machine Learning available for non-Machine Learning experts.
  • Self Learning RPAA solution which analyzes, learns and improves data extraction from documents, based on proximity, text context & user action/feedback loop.
  • Natural language QueryA Natural Language Understanding(NLU) interface, translating user query to spreadsheet formula or SQL, allowing the user to interact with an information system by using everyday phrases or questions providing insights & answers from data and enhancing the user experience.
  • Information RetrievalImplemented enterprise search capabilities in medical, healthcare, e-Comm and legal domain.
  • Personalized Search & Recommendation SystemTailored specifically to an individual's interests by incorporating information about the individual beyond specific query provided.
  • Text Tagger: A naive industrial scale text tagger based on dynamic dictionary. The tagger can be used for finding entities/concepts in large text or for doing likewise in queries to enhance understanding.
  • Visually Similar ImagesAllows users to discover content that is related to a specific sample image, popularity of an image and discover derivative works.
  • Cloud: Designed and executed many end-to-end cloud implementations for organizations in hi-tech, marketing, e-commerce, legal and healthcare.

Leadership & Execution

  • Acted as architecture lead in development initiatives to drive solution design and provide solution guidance to team members.
  • Researched technologies and lead POC development, to ensure feasibility.
  • Successfully created a high-performance system on less resources.
  • Raised funds and built board of highly connected people.
  • Reduced the development life-cycle by 30% by streamlining processes and by creating reusable modules.

Professional Experience

Dec 2017

Senior Product Architect - Artificial Intelligence & Machine Learning


Icertis Contract Management (ICM) platform is used to manage 5+ million contracts by 2+ million subscribers at companies like 3M, Daimler, Microsoft, Roche and Wipro in 40+ languages across 90+ countries. The AI-powered platform allows customers to increase contract velocity and agility, proactively manage entitlements and obligations as well as surface commercial insights and intelligence.

  • Pervasive AI (Patent pending - Primary Inventor): Abstract - Embodiment's are directed to a machine learning engine that determines training documents and validation documents from a plurality of documents. The machine learning engine may determine attributes associated with the documents. In response to receiving a request to predict attribute values of a selected document the machine learning engine may train a plurality of ML models to predict the attribute values based on the training documents and the attributes and associate the trained ML models with an accuracy score. The machine learning engine may determine candidate ML models from the trained ML models based on the training accuracy scores. The machine learning engine may evaluate and rank the candidate ML models based on the request and the validation documents. The machine learning engine may generate confirmed ML models based on the ranked candidate ML models such that the confirmed ML models may answer the request.
  • Self-learning RPA: Improvement in RPA process to extract information through an automated self-learning process by eliminating document layout, text and language biases.
  • Information Extraction: Through multiple interwoven technologies, like entity recognition, word embedding, text classification, language translation and improving results dynamically based on feedback.
  • OpenCV & OCR: Tesseract based, pre- and post-processing stack for table extraction, data extraction, document layout information from scanned pdfs and images.
  • OfficeJs/Word Add-in - Angular 5: Voluntarily took ownership of a strategically important but overly delayed project that needed to be handled cautiously and efficiently due to the potential impact on customer satisfaction and brand image.
  • Responsible for client business assessments, enterprise architecture, solutions design as well as technical leadership for teams varying from 5 to 15 members. Provided demos and presentation to stakeholders and managed expectations as well as direction during client meetings.
Jan 2017Nov 2017

Software Architect


Technology for legal and professional services. The client value management platform for empowering a data-first legal industry.

  • Question and Answering over structured data: Answers, a natural language process AI tool that automates answers to user questions across firms’ business functions (HR, finance, marketing, knowledge management, business development, etc.). The Q&A architecture of Answers makes the firm’s knowledge directly and immediately accessible and lets users ask questions how and from where they work and then delivers answers rather than documents or reports. The result was faster, more reliable search and better, more relevant results—all of which substantially enhances user experience. 
  • Text tagger: Built a industrial scale text tagger based on Lucene FST technology in Elastic search.
  • Text ClassificationCreated a solution based on text-classification which guides lawyers to select right UTBMS code for the time entries. 
  • Enterprise search capabilities by integrating Elasticsearch. Indexed complex security rules and permissions and pre-processed search terms so that results include only those documents visible to the current user.
Oct 2013Dec 2016

Founder - Chief Technology Officer

Hugefly Technologies Pvt Ltd

Hugefly is a superlative search and recommendation technology that helps you do it right, do it lightning fast and make the ecommerce buying experience user-relevant, smooth and enjoyable! Hugefly's high- performance heuristics combined with evolutionary machine learning, can process data limitlessly to capture customer-behavior with uncanny precision. Whether you are a small online retail store or an established e-commerce giant, Hugefly's razor-sharp personalized search and recommendation tool is a must-have for your sustained growth.

  • Architecture'd, developed & deployed to cloud four products, Personalized search, Personalized Recommendation, Personalized Email-Marketing & Reverse Image Search.
  • Responsible for overall technology vision, product development, and delivery.
  • Architecture'd multi-tenant, system hosted in Google Cloud Platform, leveraging the power used by Google for their own products, e.g. Compute Engine, Caching, BigQuery, Datastore.
  • Drove innovation and velocity in product management, engineering, development, and daily operations of business-to-consumer and business-to-business retail eCommerce systems with SaaS/Web Services product offering

Early Career

Inyo Ventures - Software Architect                                          2011-2013

C-TRON System and Software - Senior Software Engineer   2009-2011

Beam IT Systems - Software Engineer                                    2005-2009

Skill Highlights

  • OCR - Tesseract
  • Natural Language Processing
  • Information Retrieval, Search engines
  • RDF, Semantic Search, Elasticsearch
  • Deep Learning, Artificial Intelligence AI
  • RESTful, SOA, Microservices, SVN
  • Java / NodeJs / Python
  • Spring / ExpressJs / Flask
  • BigData, Data engineering, Streaming 
  • Tensorflow, Scipy, Pandas, Keras
  • Process Re-engineering
  • Data Science
  • Rapid Prototyping & Programming
  • Advanced Technology Research
  • Team Building & Management
  • Product Design & Development
  • Kafka, Redis, Pub/Sub 
  • CoreNlp, OpenNlp, NLTK
  • MySql, Sql, Postgres, Hibernate
  • Numpy, Scikit-learn, Neural networks


HSC PCM-Computer - Distinction                                     2001-2002

B. Architecture - Dropped for Personal Reasons            2002-2004

Executive Bachelor of Computer Application. Grade A  2004-2007

Honors & Awards

  • Sport: State Level Runner Up in Discus Throw (1999-2000).
  • 'Student Of the Year - All Rounder' (2000-2001).