Driven Senior Technical Architect with 19+ years of success in conceptualizing technical solutions and system development environments. Focused on working closely with clients to determine technical project objectives, specifications and solutions. Detail-oriented in coding and testing the functionality of deliverables. Worked in Investment Banking & Wealth Management, Pharmacovigilance, Healthcare, Intellectual Property, Search & Storage Management domains.
PROGRAMMING LANGUAGES : Java, C, C and Visual Basic
JAVA TECHNOLOGIES : J2EE, J2SE, Servlets, JSP, EJB, JDBC, Sockets, JFC/Swing, Java Beans
Frameworks : Spring MVC, Spring Batch, Spring Boot, Struts 11, Java Server Faces, Hibernate 30
Messaging Frameworks : Apache Kafka, RabbitMQ
Cloud Technology : AWS S3, AWS Cloud Watch, Lambda Functions
Frontend Technologies : ReactJS, Angular JS, HTML 5, Bootstrap, ThymeLeaf
Testing Frameworks : Selenium, Junit 40 and SoapUI
Databases : Oracle 8i, MS-Sql Server, Sybase, DB2
Webserver : Apache Tomcat 8x
Application Server : BEA WebLogic 81, Jrun 4, Glassfish V2
Scripting/Markup Languages : JavaScript, HTML, XML, XSLT
Tools and Utilities : Apache Maven, Bamboo, JIRA, Apache Ant 16, Jasper Reports, IReports, Log4j
Version Controlling Systems : GitHub, Bit Bucket, VSS, Source Any Where, Tortoise SVN
IDE : IntelliJ, Eclipse (Mars, Indigo, JEE), NetBeans 65, Easy Eclipse Server 12
Continuous Integration : Jenkins, Bamboo and Teamcity
Payment Contingency Services
StateStreet's PCS is a payment contingency application developed using Spring Boot, ReactJS, Oracle that provides payment contingency restorative capabilities in case of failed payments. The application provides capability to create incident in case of a failed or duplicate payments with the assumption that business will determine and document mitigation processes for any risk identified.
PARis
Morgan Stanley’s PARis is a distributed and cloud ready application developed using Spring Boot, Spring Batch, Spring Cloud Data Flow Server and Apache Kafka to decommission existing Mainframe application and legacy database. PARis is performance reporting application for consulting teams that provides customizable performance reporting to meet the demands of institutional clients.
The new distributed PARis is a distributed application which acquires feeds from various source systems like MSPM, Bluesheet and Benchmark, does data validation and then saves into MS SQL Server database. The feeds are text files which contains wealth management data delimited by pipe character. The PARis application acquires 20-25 feeds (daily performance and daily correction feeds). Once the files are acquired into system, the data in the files is profiled, cleansed and transformed and then finally persisted in database.
Pharmacovigilance Artificial Intelligence (PVAI)
PVAI is a fully-functioning product vigilance designed to meet the adverse event management, reporting and safety monitoring for all human, medical products, including drugs, vaccines, biologics, devices, foods, cosmetics and dietary supplements.
PVAI enables complete end-to-end case processing and transforms signal detection in the case of AEs, through automated hypothesis generation and testing against a wide range of data sources. For most AE cases, PVAI’s touchless AE processing methodology utilizes a configurable workflow engine to automatically generate notifications and follow-ups without any human intervention.
PVAI includes state-of-the-art applications like Core App and artificial intelligence/machine learning kernel known as the Extraction and Classification Engine (XCE). PVAI Core App is an electronic data collection application that enables product vigilance business users to electronically capture adverse event (AE), product compliant and pregnancy exposure information, manage correspondence with reporters and triage reports within global vigilance process.
Intelligent Process Insights Engine Data Central & Text Central (IPIE)
Genpact’s Intelligent Process Insights Engine (IPIE) is a process-aware platform that embeds technology and analytics to deliver purpose-built analytics applications. IPIE accelerates the application of data and information science to quickly drive value for clients. Genpact’s IPIE, a custom big-data platform which enables organic data governance to be embedded into design and creates a single version of the truth for all forecasting needs, provided increased accuracy in forecasting models, with enhances usability, in real time.
Data Central is a highly customizable data management & governance framework with capability to manage all automated and manual data extraction, collection, validation, correction and integration processes. Data Central can perform Extraction and integration of data from disparate data sources like SQL, Oracle, Data Files and FTP Jobs etc. It has in-built quality engine to perform quality checks and corrections. As a result, Data Central provides improved turnaround time and accuracy in data cleansing due to automation of rules, automated process enabling real-time decisions and centralized web-based status reporting across all data sources with robust process governance.
Text Central provides a simple way to compose information supply chains of structured data, from any enterprise system of record, to prepare and serve datasets up to the workbench to build advanced analytical models, or directly to the purpose built analytical applications.
Name : Kishan Lalwani
DOB : 25-12-1978
Nationality : Indian
Passport No : Y7357931
Present Address : A-303 Mahaveer Meridian 11th Main Srinidhi Layout, J.P Hagar 8th Phase, Kothnur main road, Bangalore.
Languages Known : English and Hindi.