Rajkamal R. Ingle

Data Scientist

https://talent.gravityer.com/rajkamal-r-ingle

MTech Student 🎓 in CSA Dept IISc Bangalore 🏫, Passionate about AI 🤖, ML 📊, Data Science📈 with a strong interest in NLP 💬.

Indian Institute of Science, Bangalore

Key Strengths

Demonstrated interest in Machine Learning and Natural Language Processing through personal projects like 'Adapting-Wavenet-For-ngram-models' and 'LoRA_of_LLM_KD'.
Experience with Python and Jupyter Notebook for data science related tasks.
Exposure to advanced concepts such as Low Rank Adaptation (LoRA) and Knowledge Distillation for LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards research and development in AI/ML, which aligns well with an innovative and learning-oriented culture. The diversity of projects, from basic web development to advanced NLP, indicates a broad interest in technology. However, the experience level is listed as 0, and the only listed experience is a future role, which makes current cultural fit assessment challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Primitive-Formbot

February 1, 2025 – February 1, 2025

Primitive-Formbot — GitHub repository

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Handbook-Chat-Cleaned

December 1, 2024 – December 1, 2024

Handbook-Chat-Cleaned — GitHub repository

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H3_experiments

November 2, 2024 – November 7, 2024

H3_experiments — GitHub repository

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char_lang_mod

October 15, 2024 – October 15, 2024

char_lang_mod — GitHub repository

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Transformer_for_Machine_Translated_Dates

October 14, 2024 – October 14, 2024

Transformer_for_Machine_Translated_Dates — GitHub repository

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Rajkamal1011

October 3, 2024 – November 11, 2024

Rajkamal1011 — GitHub repository

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Adapting-Wavenet-For-ngram-models

October 3, 2024 – October 3, 2024

Adapted WaveNet’s dilated convolution architecture for character-level language modeling to handle long-range dependencies in sequences. Addressed the bottleneck of n-gram models with MLP architectures that lose information as ’n’ grows, implementing dilated convolutions for more scalable and efficient context modeling.

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LoRA_of_LLM_KD

April 30, 2024 – April 30, 2024

Performed Low Rank Adaptation of LLMs and Knowledge Distillation to get a student (smaller) model with almost same performance on COLA Dataset.

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RestaurantMenuApp

February 23, 2022 – May 11, 2022

RestaurantMenuApp — GitHub repository

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SimpleCalulatorProject

February 27, 2021 – March 8, 2021

builiding a simple calculator using html, css, js

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Key Strengths

Demonstrated interest in Machine Learning and Natural Language Processing through personal projects like 'Adapting-Wavenet-For-ngram-models' and 'LoRA_of_LLM_KD'.
Experience with Python and Jupyter Notebook for data science related tasks.
Exposure to advanced concepts such as Low Rank Adaptation (LoRA) and Knowledge Distillation for LLMs.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Rajkamal R. Ingle

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit