Nikhil Kalyankar

Biography

Nikhil Kalyankar is an Engineering Leader with over 16 years of experience in AI, ML, SaaS, and business operations. He is a Senior Software Engineering Manager at Boomi, leading AI-driven innovations such as Boomi GPT and Boomi Answers, enhancing natural language processing, automation, and AI-driven integrations. Previously, as Co-founder and CTO of Kalyankar Analytics, he built AI-powered search and recommendation systems for enterprise applications.

Nikhil also played a pivotal role as the Associate Director at Pace University’s Entrepreneurship Lab, where he raised $350K+ in funding and mentored students in AI, data science, and business strategy. His early career included enterprise software development at Capgemini, where he worked on large-scale applications for HSBC CSR systems.

With an MBA from Pace University and a strong technical background in Python, Java, AWS, NLP, and Generative AI, Nikhil excels in engineering management, AI innovation, and SaaS product development, driving impactful and scalable solutions across industries.

Experience

Senior Manager, Software Engineering (Data & AI/ML)

Boomi Software India Private Limited, Bengaluru

July 2023 - Present

• Managed 11 direct and 16 vendor-contracted team members, including Backend Engineers, DevOps Engineers, Data Engineers, Data Scientists, QA, and UI Engineers.

• Built Boomi GPT chatbot from scratch for natural language integration creation.

• Delivered Chat History feature with AWS Lambda and DynamoDB.

• 10x usage growth of Boomi GPT with the implementation of Boomi Answers initially built using RAG architecture with Sagemaker infrastructure using local LLM and static vector database

• 90% cost reduction and improved scalability by re-engineering Boomi Answers to use AWS OpenSearch Serverless and Bedrock with LLM Claude Sonnet 3.5 and scheduled Batch job to retrieve data and update vector indexes.

• 5x usage growth and 87% cost reduction after Boomi Resolve with AI-driven RAG for error resolution

• Identified and implemented guardrails for Q&A feature to moderate responses with LLM Claude Haiku 3.5 and other methods.

• Deployed Data Detective to detect PII using metadata and geolocation with Amazon EKS, Amazon Batch, Amazon RDS Postgres, and Amazon S3 analyzing 10+ Billion fields.

• 90% cost reduction for Amazon RDS by implementing S3 Caching for faster and cost-effective responses.

• 95% cost reduction by replacing Amazon EMR with Apache Spark-based Batch Job.

• Built scalable infrastructure for Boomi GPT General Availability with AWS Application Autoscaling to support 20k+ users.

• Delivered API Documentation Generation using AWS Bedrock with LLM Claude Sonnet 3.5 and Claude Haiku 3.5.

• Increased development and testing speed with a full stack Demo Showcase web application to internally demo new features using Fast API, React, Amazon Lambda Web Adapter, CloudFront, WAF, and AWS CloudFormation.

• Enforced rigorous coding best practices and quality standards.

• Implemented Git Submodule for reusable code and independent iterations.

• Reduced technical debt with structured processes and refactoring.

• Ensured secure and high-quality deployments across services.

Senior Principal AI/ML Engineer, R&D

Boomi Software India Private Limited, Bengaluru

June 2022 - June 2023

Co-Founder and CTO

Associate Director, Entrepreneurship Lab

Graduate Assistant

Senior Software Engineer

• Helped grow the team by interviewing candidates for seven positions.

• Provided support in managerial responsibilities like editing job descriptions, screening resumes, interviewing candidates.

• Helped onboard new team members

• Quickly took over responsibilities after team transition.

• Created and ran Ansible scripts for deploying AWS resources with AWS CloudFormation

• Reduced execution time for Datalake pipeline from 48 hours to 6 hours by moving from Apache Flink to a new architecture.

• Worked on Snowflake to research and catalog contents of the Datalake

• Created fully parameterized and generalized scripts to streamline and automate pipeline management in AWS Sagemaker with Ansible and AWS Cloudformation.

• Helped build and maintain segments of Data Pipeline with Apache Flink (Kubernetes), AWS Lambda, and AWS Batch.

• Implemented a POC for Apache Airflow on AWS (MWAA).

• Created CloudFormation template for deploying Airflow with Bastion Host access

• Employed Splunk monitoring on all segments in all pipelines

• Implemented a POC for showcasing Boomi platform shapes visually with Neo4J

• Created detailed documentation for all resources.

• Researched and organized existing wiki documentation

Kalyankar Analytics Private Limited, Hyderabad

June 2017 - May 2023

• Co-founded an enterprise technology startup, developing and maintaining several enterprise tools for Machine Learning, Deep Learning, Natural Language Processing, and Data Analytics.

• Built advanced AI-Powered search API with semantic search capabilities.

• Developed Recommendations AI for eCommerce, talent management, and publishing.

• Experience working with cloud technologies like Azure and AWS.

• Implemented Serverless technologies and RESTful API

• Built all applications through the full product life cycle, from ideation to launch and beyond

• Solved complex problems across the full stack of a SaaS application, from user experience to serverless backend.

• Developed a complex RESTful API using Java and Springboot.

• Developed automated document tagging with keyphrase extraction using a novel approach with Apache Spark and Stanford CoreNLP.

• Developed full-featured application UI-based ETL, Data Ingestion, Data Manipulation, Feature engineering, Data Exploration, and Automated Machine Learning for Classification and Regression Models.

• Skilled in MLOps deploying GPT2 model and other massive ML models with Docker

Pace University, New York

March 2012 - May 2017

• Successfully raised over $350,000 through grants and gifts

• Played key role in building Entrepreneurship Lab (eLab) brand

• Managed eLab staff, including contracting, performance management, and compensation.

• Worked with students at Pace University to coach them in data analysis and machine learning.

• Taught courses on Python and Sci-kit to learn to undergraduate and graduate students who were studying computer science, business, economics, and mathematics.

• Advised startups on applying AI and Machine Learning to their business.

• Conducted web scraping on news sites for extracting information on markets for entrepreneurial activity or startups.

• Performed data cleaning, data preparation, and data analysis in Excel.

• Trained Machine Learning models for forecasting startup growth across sectors on Python and Sci-kit learn

• Organized business events, including collaborations with external partners and students

• Designed and developed websites for eLab projects

Pace University, New York

September 2010 - December 2011

• Extensive experience in data analysis and reporting, including the creation of reports based on data collected from Google Analytics and SurveyMonkey.

• Experience conducting market surveys to learn about student needs and the creation of data analyst reports.

• Expertise in maintaining and updating databases, including Microsoft Access, MySQL, and PostgreSQL.

• Analyzed and visualized data

• Organized Entrepreneurship Lab events and activities

• Designed emails for email marketing

• Promoted events on Social media

• Designed landing pages for events and programs.

• Created marketing materials like brochures, website, and flyers

• Senior Java Developer at Capgemini, building enterprise applications for HSBC Customer Service Representative (CSR).

• Customized CSR Applications across regions like Australia, Asia Pacific, Europe, and the Middle East.

• Communicated with clients for business requirements and project cost estimation.

• Adherence to CMM Level 5 for Continuous Process Improvement.

• Worked across teams for development and defect resolution.

Capgemini India Private Limited, Hyderabad

August 2006 - February 2009