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ABHINAY KRISHNA

@abhinaykrishna

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Experienced Machine Learning Engineer with a strong background in Computer Science.

India

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What I'm looking for

I am looking for a role that challenges my skills in machine learning and offers opportunities for growth in a collaborative environment.

I am an experienced Machine Learning Engineer with a solid foundation in Computer Science from IIIT Sricity. My journey in the tech world has been marked by a passion for leveraging machine learning and deep learning to solve complex problems. At Phenom, I have successfully implemented advanced models such as LSTM for text classification, achieving a remarkable accuracy of 97% through innovative techniques like Few-shot fine-tuning.

Throughout my career, I have developed unique solutions, including a novel loss function for Contrastive learning and a Siamese network that simplifies the hiring process. My work has not only enhanced the accuracy of candidate scoring but also improved job recommendation systems significantly. I thrive in dynamic environments where I can apply my skills in machine learning frameworks and tools, and I am always eager to learn and adapt to new challenges.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Phenom

Jul 2021 - Present (4 years 1 month)

Implemented an LSTM model for classifying hiring data text sequences, enhancing accuracy to 97% through Few-shot fine-tuning using Sentence Transformers (SET FIT). Developed a novel loss function for Contrastive learning, integrating unique ordinal characteristics to extend the capabilities of the Supervised Contrastive loss (SupCon).

Siamese Networks Sentence Transformers Contrastive Learning Supervised Contrastive Loss Triplet Loss Snowflake MongoDB Redis Kafka fastAPI Neural Networks

Machine Learning Intern

Phenom

Jan 2021 - Jun 2021 (5 months)

Leveraged XLMR Multilingual embeddings to align candidates/jobs across various languages into a common embedding space. Used Hierarchical clustering and K means clustering to group users and narrow search time for suggestions of suitable candidate for the job.

XLMR Multilingual Embeddings Candidate Alignment

Deep Learning Intern

Bennett University

May 2020 - Jul 2020 (2 months)

Explored transfer learning CNNs (Densenet-121, VGG16, Resnet 121) for lung X-ray classification. Achieved the highest accuracy at 94% using Semi-supervised GAN.

DenseNet121 Transfer Learning CNN VGG16 Resnet 121 Semi Supervised GAN Lung X Ray Classification

Machine Learning Intern

Vizag Steel Plant

Apr 2019 - Jul 2019 (3 months)

Implemented Auto Regressive time series forecasting models, ARIMA and Seasonal ARIMA (SARIMA), for sales data. Achieved an accuracy of 88% on unseen data.

Autoregressive Models ARIMA Seasonal ARIMA Time Series Sales Data Analysis

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology, Sri city

Bachelor of Engineering, Computer Science

2017 - 2021

Activities and societies: Coordinator of Film Club at IIIT Sricity for the year 2019-2020. Coordinator of events in Abhisarga 2018 event at IIIT Sri city.

Completed a Bachelor of Engineering in Computer Science, gaining a strong foundation in machine learning, NLP, and deep learning. Engaged in various projects and activities that enhanced practical skills in the field.

Takshashila Public School, Hyderabad

High School Diploma, General Studies

2015 - 2017

Activities and societies: Qualified and certified for the Level 2 International Mathematics Olympiad examination.

Attended Takshashila Public School, completing high school education. Qualified and certified for the Level 2 International Mathematics Olympiad examination.