
All things Multilingual
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Madras
Data Scientist
June 17, 2026 – Present
CIA
July 12, 2024 – October 18, 2024
Code for training, evaluating and using a cross-lingual Auto Evaluator
View ProjectFBI
May 13, 2024 – August 14, 2025
FBI: Finding Blindspots in LLM Evaluations with Interpretable Checklists
View Projectsetu
June 23, 2023 – May 17, 2024
Setu is a comprehensive pipeline designed to clean, filter, and deduplicate diverse data sources including Web, PDF, and Speech data. Built on Apache Spark, Setu encompasses four key stages: document preparation, document cleaning and analysis, flagging and filtering, and deduplication.
View ProjectIndicTrans2
March 15, 2023 – October 3, 2025
Translation models for 22 scheduled languages of India
View ProjectIndicBERT
June 23, 2022 – April 6, 2025
Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME
View ProjectShoonya
May 17, 2022 – October 31, 2025
Shoonya - Platform to Annotate and label data at scale.
View ProjectIndic-BERT-v1
April 8, 2020 – May 11, 2023
Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT
View Projectwebcorpus
August 9, 2019 – November 18, 2021
Generate large textual corpora for almost any language by crawling the web
View Projectkey-term-extraction
August 30, 2018 – October 10, 2018
Implementation of Keyword Extraction from a Single Document using Word Co-occurrence Statistical Information
View ProjectFace-Recognition
May 24, 2018 – December 8, 2022
Face Recognition based attendance system for classroom environment. Developed a python API which recognizes the people in a picture(of a classroom) and matches them with all the student registrations for that course and returns a image with all the recognized and unrecognized faces (face tags), and tags all the students recognized as present.
View ProjectCultural Fit Analysis
The candidate's projects are primarily research-oriented and open-source contributions, indicating a strong drive for innovation and knowledge sharing. The focus on Indic languages suggests an interest in impactful, region-specific AI solutions. However, the lack of diverse project types (e.g., business-oriented, team-based, or customer-facing) makes a comprehensive cultural fit assessment challenging. The single listed work experience as 'Data Scientist' at IIT Madras aligns well with the target role, but details are sparse.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear and technically focused, but do not offer insights into collaboration, problem-solving approaches, or communication style beyond technical clarity.