About
Experienced working across research, solutioning, engineering and operations lifecycles of industry grade AI / ML products that serve business clients (B2B) and end users (B2C).
Data Scientist, Analytics Engineer and ML Engineer
Worked across:
- Capacity:  Individual contributor and Tech Lead
- Organization Types:  Multinational company and startups
- Contract Types:  Full Time, Contract and Freelance
- Education: B.E. in Computer Science (University First Rank - Gold Medal), M.Sc. in Computer Science & MBA in Business Analytics
- Roles held so far: NLP Research Engineer, Senior and Lead Data Scientist, Staff and Principal Data Scientist
- Institutions: B.E. from SSN - Anna University, M.Sc. from University of California - Santa Barbara, MBA from BITS Pilani
- Past and current companies: IBM Almaden Research Center, Kyndryl (Spin-off from IBM), Epifi (Fi Neo Bank), Smarteeva and Endeavor Labs
I finished my undergrad in Science and Engineering in India and Master of Science in the USA, which laid my technical foundations in Computer Science and Machine Learning. I started working full time as an NLP Research Engineer in IBM Almaden Research Center, during which I was involved in the research side of ML and NLP. Followed by this role, I pivoted more into product oriented roles as a Data Scientist and Senior Data Scientist within another business unit in IBM which spun off into Kyndryl. The birth of this new entity, made me realize how I enjoy imparting structure and progress to complex situations and how I derive inspiration from wearing multiple hats within the same job role. Since then, I've specialized in being a founding member of new Data and ML products and I take pride in taking them from scratch to scale.
Recommendations
Here are recommendations from people I've worked closely with, during my career. The same can be found on my LinkedIn profile as well.
Patents and Publications
Patents
Granted and Published
- US11200883B2: Implementing a domain adaptive semantic role labeler
- US20220284996A1: Combining domain-specific ontologies for language processing
- US20220215325A1: Real Time Identification of Changed-Induced Incidents
- US20220180068A1: Bias Identification and Correction in Text Documents
- US20240256916A1: Continuous maintenance of model explainability
- P202103424US01: Recruitment Augmentation with digital footprint utilization
- P202103930US01: Automated Customized Machine Learning Validation Flow
Patent(s) Filed
- P202400066: Prompt Optimizer Aparatus for Large Language Models
Defensive Publication(s)
- P202100615: Data Management methods for improved model continuity in MLOps
- P202100886: Literature consolidation through relative text processing on pivot document
- P202100897: Named Entity Guided Domain Ontology for structured semantic analysis of ITOps text
- P202102040: Using Model Simulation, Optimization, and Profiling to Generate and Forecast Cloud Infrastructure Cost Savings
- P202103451: Automated continuous and adaptive knowledge extraction and transfer mechanisms
- P202103451: Continuous improvement of market success rate through end-to-end intelligent process management on consulting
- P202101977: Adaptive Intelligent system and methods of creating UX mockups based on existing themes
- P202400044: A conversation-guided enterprise knowledge base and planner
- P202400060: Context-Aware Indoor Environmental Management and Navigation Solution for Storage Facilities
- P202400064: Integrated Data Attribution and Document Cataloguing for Large Language Model Applications
Inventor Awards
Open Source Contributions
Publications
Talks
Blogs
Projects
Talking about some of my interesting and noteworthy projects, while not going against any NDA and IP agreements
Skills
While I'm learning and developing myself as a person and a professional everyday, these are some of the skills I have honed and can use to hit the ground running.
Uncovering hidden potentials in data
Whether it's a useful feature or a hidden risk pattern, I can uncover new paths, both at high level and deep in the weeds through EDA, hypothesis testing and quick modeling POCs.
Bringing structure to abstract problem statements
Every great project starts with a vision and not necessarily an entire plan or path laid out. This is where I can help with my organisational and planning skills to define the path, modules and implementation & validation plan.
End to end model lifecycle ownership
I have established track record of helping business metric growth through continued improvement of ML systems (MLOps) in accordance with evolving business or market needs.
Researching, publishing and patenting
Through my academic background and starting my corporate career in a research lab, I carry the innovative spirit everyday. Additionally, I am also well versed in publishing and/or patenting the same to establish reputation and claim IP.
Bringing the ML product to life and out into the world
I have gone beyond POCs and research version of models, to ship products consumed by both corportate and retail users. And from there, integrated user feedback to ship improved versions.
Mentoring on technical and soft skills
I have been in tech lead and dedicated formal mentor roles coaching across data science, invention drafting and presentation skills.
Outreach

I am a guest lecturer at Birla Institute of Technology's Work Integrated Learning Programme, outside work hours on weekends relating to
- Data Science
- Data Engineering
- MLOps
- Cloud

I am working on a series of courses on Applied ML on Udemy and Tutorials Point, which are designed using the principle of always tying back theoretical concepts to real world applicative scenarios, it's benefits and limitations to truly get the learners ready to apply their knowledge in the real world, be it in their regular job, venture or a new project

I run a podcast on youtube, spotify and apple podcast for the data and ML community called Your Data HQ (YDHQ) to come together and learn from each other on topics of Data, Analytics, ML research, real projects and life outside work

I am a mentor for Apziva's AI Residency Program where I mentor and coach the professional residents on gaining and applying industry experience and skills, as they work on projects from different industries. Additionally I have been part of SWE (Society of Women Engineers) programs and mentor network since 2019
Contact
My preferred contact methods are through LinkedIn and Email. Do connect if you'd like to connect on something or get a copy of my updated resume.