Natural Language Processing, Deep learning, Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIIT Bhubaneswar
Software Engineer
June 16, 2026 – Present
Denoising_BERT
September 30, 2021 – September 30, 2021
Denoising_BERT — GitHub repository
View ProjectCuckoo-Search-Algorithm
October 27, 2020 – November 10, 2020
A Search Optimization Algorithm
View ProjectEmotion-Classification
July 11, 2020 – July 11, 2020
The repo uses self-attention and cross-attention over MELD dataset for classifying emotions in a conversation
View ProjectGrammarly-for-Transcriptions
May 13, 2020 – May 13, 2020
This is a grammar corrector for speech-transcriptions, written-transcriptions, (.wav) file's transcriptions.
View ProjectSmashRNN
March 26, 2020 – May 31, 2020
It uses 3-Stage, 3 levels encoder (word_level, sent_level, para_level) to encode the input using GRUs. Further , it uses Siamese network (of MeshRNNs) to learn the similarity between the documents.
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on academic or personal machine learning/NLP tasks, indicating a strong interest in this domain. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit. The target role is 'Software Engineer', but the projects are heavily skewed towards ML research/development rather than general software engineering principles or full-stack development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed experience is a future start date, suggesting a lack of professional work history. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.