Background

Education

• PhD in Natural Language Processing Indian Institute of Technology, Kharagpur 2026 (expected)
• M.Sc. Financial Engineering WorldQuant University, USA 2022
• M.Tech. Data Science and Engineering Birla Institute of Technology and Science, Pilani, 2022
• B.E. Information Science and Engineering, University Visvesvaraya College of Engineering, Bengaluru 2018

Work experience

• 06/2023 – Present: Staff Data Scientist. Juniper Networks
  • Leading AI initiatives in the Mist Marvis platform, focusing on AP Health and Blackhole detection through intelligent root cause analysis (RCA).
  • Developed and led a 10-member team of Data Scientists and ML Engineers to build AI-driven network management tools, including log monitoring, anomaly detection, and automated RCA.
  • Designed and deployed a multi-model pipeline integrating Anomaly Detection, Seq2Seq models, Sentiment Analysis, Markov Chains, and Event Correlation for log summarization and RCA, with LLM-powered reporting and chatbot support.
  • Spearheaded Retrieval-Augmented Generation (RAG) systems, combining LLMs and Information Retrieval to enhance chatbot troubleshooting capabilities.
  • Fine-tuned domain-specific small language models (SLMs) and trained network-centric frontier LLMs to support agentic approaches in network troubleshooting.
  • Acted as SME for AI-based Log Monitoring, collaborating with stakeholders and customers to refine internal tools and external product features via regular demos and feedback loops.
• 09/2021 – 06/2023: Senior Data Scientist. Deloitte
  • Worked on optimizing price, promotion, place, and product in the context of demand prediction. Using machine learning, developed models to predict demand and recommend optimal pricing strategies for different products.
  • Build Next-gen Massive-scale Identity Resolution System using Graphs: Identifying, connecting and assigning an ID for different data ranging from email campaign, click-stream (activity on the website), purchase order, etc. to get the data of customers from all the stages of the E-Commerce customer purchase funnel. The raw data collected by the platform’s client are often inaccurate and incomplete. Identity resolution allows completion of missing data.
  • Mentored Junior Developers through their on-boarding and day to day work.
• 04/2021 – 08/2021: Data Scientist. DataDirect Networks
  • Predictive Maintenance using machine learning
  • Storage Device Performance Scoring by using parameters like IOPS, throughput and latency among others. The system also suggests optimum load capacity.
• 06/2018 – 04/2021: Data Scientist. Rakuten
  • Conducted bottom-up customer-item interaction analysis to identify opportunities for launching new product lines, categories, and genres to drive revenue growth.
  • Delivered key marketing analytics use cases, including Customer Acquisition, Churn Prediction, Cross-sell, Retention, Reactivation, and ROI Optimization.
  • Optimized marketing campaign targeting strategies, leading to a 25\% increase in conversion rate and contributing to gross merchandise sales of $\approx$$15M.
  • Designed and implemented a scalable ML lifecycle automation framework (inspired by Uber Michelangelo), enabling reproducible experimentation and deployment.
  • Built internal tools to analyze curator performance and created executive dashboards to surface key issues and improve operational efficiency.
  • Mentored junior engineers and interns, fostering skill development in data science and ML practices.
• 01/2018 – 06/2018: Intern. Rakuten
  • Product catalog enrichment using attribute extraction from product title and details
  • Product matching with competitor products for data enrichment, competitor analysis and other purposes
  • Building intelligent crawlers
• 10/2016 - 09/2017: Intern. Jotarthur
  • Text analytics engine to understand multiple aspects of customers like sentiment, intent, preference, etc.
  • Rapid Prototyping and Software Development

Skills

• Languages: Native: Tamil Fluent: English Hindi Kannada Telugu Beginner: Japanese
• Coding: Python
• Frameworks: Langgraph Langchain Tensorflow2 Scikit-learn numpy fastai PyTorch
• Web Dev: Flask, FastAPI
• Misc.: Academic research, teaching, training, consultation

Opensource Contributions

• CausalML - https://github.com/uber/causalml
• Google’s Data Commons Python API - https://github.com/datacommonsorg/api-python
• Druid - https://github.com/druid-io/pydruid
• ProductNER - https://github.com/etano/productner

Certification

• ML Summer School. Awarded by Cohere Labs.
• Introduction to Machine Learning. Awarded by Indian Institute of Technology, Madras.
• Natural Language Processing. Awarded by Indian Institute of Technology, Kharagpur.
• The Joy of Computing using Python. Awarded by Indian Institute of Technology, Ropar.
• User-centric Computing for Human-Computer Interaction. Awarded by Indian Institute of Technology, Guwahati.
• Machine Learning, Stanford University. Awarded by Coursera.

Publications

Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry

Sujeet Kumar, Pretam Ray, Abhinay Beerukuri, Shrey Kamoji, Manoj Jagadeeshan, Pawan Goyal, "Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry." In the proceedings of arXiv preprint arXiv:2506.00145, 2025.

From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses

Manoj Jagadeeshan, Samarth Bhatia, Pretam Ray, Harshul Surana, Priya Mishra, Annarao Kulkarni, Ganesh Ramakrishnan, Prathosh AP, Pawan Goyal, "From Plain Text to Poetic Form: Generating Metrically-Constrained Sanskrit Verses." In the proceedings of arXiv preprint arXiv:2506.00815, 2025.

Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents

Manoj Jagadeeshan, Prince Raj, Pawan Goyal, "Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents." In the proceedings of arXiv preprint arXiv:2505.19494, 2025.

Hybrid manifold smoothing and label propagation technique for Kannada handwritten character recognition

G Ramesh, J Shreyas, J Balaji, Ganesh Sharma, HL Gururaj, NN Srinidhi, SS Askar, Mohamed Abouhawwash, "Hybrid manifold smoothing and label propagation technique for Kannada handwritten character recognition." Frontiers in Neuroscience, 2024.

Offensive language identification in dravidian languages using mpnet and cnn

Bharathi Chakravarthi, Manoj Jagadeeshan, Vasanth Palanikumar, Ruba Priyadharshini, "Offensive language identification in dravidian languages using mpnet and cnn." International Journal of Information Management Data Insights, 2023.

Detecting abusive comments at a fine-grained level in a low-resource language

Bharathi Chakravarthi, Ruba Priyadharshini, Shubanker Banerjee, Manoj Jagadeeshan, Prasanna Kumaresan, Rahul Ponnusamy, Sean Benhur, John McCrae, "Detecting abusive comments at a fine-grained level in a low-resource language." Natural Language Processing Journal, 2023.

Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages.

Kogilavani Shanmugavadivel, Malliga Subramanian, Prasanna Kumaresan, Bharathi Chakravarthi, B Bharathi, Subalalitha Navaneethakrishnan, Lavanya Kumar, Thomas Mandl, Rahul Ponnusamy, Vasanth Palanikumar, Manoj J, "Overview of the Shared Task on Sentiment Analysis and Homophobia Detection of YouTube Comments in Code-Mixed Dravidian Languages.." In the proceedings of FIRE (Working Notes), 2022.

Dragonfly-Net: Dragonfly Classification using Convolution Neural Network

J Balaji, HS Chinmaya, Ganesh Sharma, Nithish Divakar, "Dragonfly-Net: Dragonfly Classification using Convolution Neural Network." Journal of Applied Information Science, 2022.

A Study on Sentimental Analysis, Homophobia-Transphobia Detection for Dravidian Languages

Manoj Balaji, HS Chinmaya, "A Study on Sentimental Analysis, Homophobia-Transphobia Detection for Dravidian Languages." In the proceedings of CEUR Workshop Proceedings. https://ceur-ws. org, 2022.

TrollMeta@ DravidianLangTech-EACL2021: Meme classification using deep learning

Chinmaya Hs, Manoj J, "TrollMeta@ DravidianLangTech-EACL2021: Meme classification using deep learning." In the proceedings of Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, 2021.

Recognition of off-line Kannada handwritten characters by deep learning using capsule network

G Ramesh, JM Balaji, GN Sharma, HN Champa, "Recognition of off-line Kannada handwritten characters by deep learning using capsule network." Int. J. Eng. Adv. Technol, 2019.

Offline Kannada handwritten character recognition using convolutional neural networks

G Ramesh, Ganesh Sharma, J Balaji, HN Champa, "Offline Kannada handwritten character recognition using convolutional neural networks." In the proceedings of 2019 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2019.