Millennium

I am a Senior AI Researcher (Oct 2025-present) @ Millennium.

Dataminr

I am a Senior Research Scientist at Dataminr (Jan 2022-Oct 2025). In Dataminr, I lead the AI-Entities team that contribute to building and scaling novel algorithms to perform information retrieval on 500M messages per day (both English and multilingual messages). During my time at Dataminr, I have deployed as a service ranges from small LMs (Bert, Roberta, XLMR) to LLMs (LLaMA, Mistral) with varying costs. For some of the models I have converted them to Neuron from Pytorch for scaling their inference. These are some of the projects I have worked on.

1. Named Entity Recognition - extracts named entities such as organizations, persons, locations from multilingual texts via smaller encoders like miniLMv2, xtremedistil, encoders are pretrained for domain adaptation

2. Entity Tagging/Linking - tags named entities to canonical entities in Dataminr knowledge graphs using BM25 and GBR

3. Entity-Alert Affinity  -  further verifies if tagged entities are correct or not using an expensive fine-tuned LLMs such as LLAMA 3.1 8B

4. Entity Alignment - search via a FAISS indexer based on a fine-tuned Sentence Transformer (paraphrase-MiniLM-L3-v2) if ingested entities exists in Dataminr KG (300K entities) or external KGs such as CapitalIQ (11M entities) and Wiki (6M entities), aligns via GBR to find the closest possible match

5. Company Negative Sentiment - summarizes anomalous trends by extracting relevant messages using CRP (online topic clustering) and fined tuned LLM such as Mistral 7B.

6. Chatter - detect third party eye withess events from Twitter multilingual messages via a finetuned twitter-XLMR model

7. Misinformation - detect misinformation from COVID and US election related multilingual messages via a finetuned multilingual distilbert model

IBM Research

Previously I was a Research Staff Member and a Master Inventor (2021-2024) at IBM T. J. Watson Research Labs, NY (Aug 2016-present) and work in the ai-hybrid cloud team where I was leading or co-leading the following projects: Tackle Containerization Advisory (ACA) (link) and Transforming Monoliths to Microservices (Mono2Micro)(link)

I have published papers in conferences such as ESEC/FSE, ASE, IJCAI, COLING, ECAI, CLOUD, ICWS, ICSOC, SocInfo, SCC, RE, and in journals such as JAAMAS, PLOS ONE, IEEE TCSS, IEEE Internet Computing, KER. I have received one best paper award in ICSOC, 2015 and one best demo paper award in ICSOC, 2019. I am serving or have served as a program committee member for the following conferences: EACL, WWW, ECIR, EMNLP, NAACL, ACL, AAAI, COLING, CIKM, IJCAI, AAMAS, ECML-PKDD, CLOUD, ICDCS, ICWS, ICSOC, SCC, BPM, PST, and PRIMA.

I have filed around 54 patents and out of them 50 are granted.

I graduated from North Carolina State University, Raleigh, US where I completed my MS (Fall, 2013) and Ph.D. (Summer, 2016) in Computer Science under the guidance of Prof. Munindar P. Singh. I completed my BTech in Computer Science and Engineering from the College of Engineering and Technology, Bhubaneswar, India (Summer 2008).

• MS Thesis : Muon: Designing Multiagent Communication Protocols from Interaction Scenarios

• Phd Thesis : Understanding Human Communication to Estimate Trust, Hierarchy, and Performance

During my PhD, I interned at

• HP Labs, Palo Alto, CA (Mentors: Hamid R. Motahari Nezhad , Claudio Bartolini)

• US Army Research Labs, Aberdeen, MD (Mentors: Norbou Buchler, Arwen Decostanza)[predoctoral ORISE Fellow]

I have mentored/mentoring the following Summer interns at Dataminr.

• Suman Dowlagar, Fall 2022 (PhD Candidate, IIIT Hyderbad)

I have mentored/mentoring the following Summer interns at IBM.

• Tishauna Wilson, Summer 2021 (MS Candidate, Virginia Tech)

• Hiwot Tadasse, Summer 2021 (Senior, Benedict College)

• Joymallya Chakraborty, Summer 2020 (PhD Candidate, NC State)[joined Amazon post graduation]

• Haan Johng, Summer 2019 (PhD Candidate, UT Dallas)

• Hoang Ho, Summer 2019 (PhD Candidate, UMASS)[joined Apple post graduation]

• Daniel Gordon, Summer 2019 (Sophomore, University of the West Indies, Trinidad & Tobago)

• Tarek Sakakini, Summer 2018 (PhD Candidate, UIUC) [joined Amazon post graduation]

• Liana Lin, Summer 2017 (PhD Candidate, NC State)[joined IBM T.J. Watson post graduation, Now in LinkedIn]

I have mentored/co-advised following MS or PhD students 

• Rahul Yedida, mentoring with Tim Menzies, 2021-ongoing (PhD Candidate, NC State) 

• Suma Kasa, co-advisor with Munindar Singh,  2020-2021 (MS Thesis, NC State) [joined Amazon post graduation]

• Parth Diwanji, mentored with Munindar Singh,  2020-2021 (MS, NC State) [joined Google post graduation]

• Arvind Kumar, mentored with Munindar Singh, 2020-2021 (MS, NC State) [joined Facebook post graduation]

News**

• Oct, 2025: Invited PC Member, NeurIPS 2025 Workshop NORA, 2025

• Oct, 2025: Invited PC Member, EACL [Industry Track], 2025

• Oct, 2025: Invited PC Member, WWW [User Modeling, Personalization and Recommendation Track], 2025

• Sept, 2025: Invited PC Member ECIR, 2025

• July, 2025: Invited PC Member, EMNLP [Industry Track], 2025

• May, 2025, Invited PC Member, CIKM [Full and Short Paper Track], 2025

• May, 2025: Invited Area Chair, ACL May, 2025

• Feb, 2025: Invited PC Member, IJCAI [AI4Tech Track], 2025

• Feb, 2025: Invited Emergency Area Chair, ACL Feb, 2025

• Oct, 2024: Invited PC Member, NAACL [Industry Track], 2025

• Jun, 2024: Invited PC Member, EMNLP [Industry Track], 2024

• Dec, 2023: Invited PC Member, IJCAI, 2024

• Dec, 2023: Invited PC Member, NAACL [Industry Track], 2024

• June, 2023: Invited PC Member, CIKM, 2023

• Mar, 2023: Invited ACL Industry Track, 2023

• Dec, 2022: Invited PC Member, IJCAI, 2023

• Nov, 2022: Rising Star Award from NC State Computer Science Department

• Feb, 2022: Our AST paper on CrawLabel got accepted

• Jan, 2022: Joined Dataminr as a senior research scientist

• Dec, 2021: Open Source Recognition Program (Kubernetes Stack - Significant Contributors)

• Dec, 2021: Received Outstanding Technical Achievement Award

• Oct, 2021: Selected as 2021 Class of Master Inventors

• Sept, 2021: Invited PC Member, AAAI, 2022

• Aug, 2021: Released the open-source version of ACA (link)

• Aug, 2021: Paper on the impact of hyper-parameter tuning on refactoring algorithms accepted to ASE

• July, 2021: Tutorial on application modernization and refactoring accepted to ASE

• July, 2021: Change Action Discovery and ACA papers got accepted to IEEE Cloud

• July, 2021: Mono2Micro paper got accepted to ESEC/FSE industry track

• Jun, 2021: Mono2Micro is shortlisted as a finalist in CogX awards

• May, 2021: Received Outstanding Technical Achievement Award

• Apr, 2021: Invited PC Member, CIKM, 2021

• Mar, 2021: Invited Industry Track Co-Chair ICSOC (icsoc-2021)

• Jan, 2021: Mono2Micro got GAed (link)

• Dec, 2020: Received Research Accomplishment

• Nov, 2020: Accepted DeveloperWeek Talk on ACA

• Oct, 2020: Received Twelfth Plateau Invention Award

• Oct, 2020: COLING short research paper got accepted

• Sept, 2020: Invited PC Member, AAAI-21 Demonstrations

• Aug, 2020: Received High Value Patent Awards

• Aug, 2020: ACA got GAed

• Aug, 2020: FSE demo paper got accepted

• Mar, 2020: Received Eleventh Plateau Invention Award

• Mar, 2020: Received Outstanding Technical Achievement Award