Rakshith Poojary

Aspiring AI/ML Engineer | B.Tech. Student

Mumbai, IN.

About

Highly motivated and results-oriented B.Tech. student in Metallurgical Engineering and Materials Science at IIT Bombay, with a strong specialization in Machine Learning and Deep Learning. Proven ability to design, develop, and optimize advanced AI models for diverse applications, including financial trading, medical image analysis, and natural language processing. Adept at leveraging large datasets, cloud platforms, and various ML/DL frameworks to drive impactful solutions. Eager to contribute technical expertise and innovative problem-solving skills to challenging roles in AI and data science.

Work

Accolade Tech Solutions

|

Machine Learning Intern

→

Summary

Developed an automated system for seamless attendance tracking and recording using Convolutional Neural Networks.

Highlights

Computed facial encodings for over 250 face records using FaceNet models, enabling accurate identity comparison.

Achieved an 87% F1 score through rigorous testing of facial encodings, demonstrating high model effectiveness.

Projects

Pneumonia Detection using CNN

→

Summary

Built a pneumonia detection pipeline using CNN features and classical ML classifiers on chest X-ray images, as a course project guided by Prof. Amit Sethi.

Twitter-Based Stock Sentiment Analysis

→

Summary

A self-initiated project focused on analyzing stock sentiment from real-time Twitter data.

Satellite Image Segmentation

→

Summary

Implemented image segmentation on Hyperspectral Remote Sensing images, as a course project guided by Prof. B.K. Mohan.

ML-Based Trading Engine

→

Summary

Developed a large-scale deep-learning trading agent under the guidance of Debdoot Mukherjee, AI Head at Meesho.

NLP with Disaster Tweets

→

Summary

A self-initiated project focused on natural language processing for disaster-related tweets.

Trading Agent using Deep Reinforcement Learning

→

Summary

Developed a Deep Q-Learning trading agent as part of Finsearch, Finance Club, IIT Bombay.

Deep Carlsen

→

Summary

Developed a deep learning model to analyze chess positions and predict the most favorable chess state, as part of Season Of Code (SoC) with Web and Coding Club, IIT Bombay.

Skills

Programming Languages

Python, SQL.

Machine Learning & Deep Learning Frameworks

TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Random Forest, CNN, SVM, ANN, Siamese Networks, Autoencoders.

Data Processing & Analysis

Pandas, NumPy, PySpark, BigQuery, TA-Lib, Feature Engineering, Dimensionality Reduction (PCA).

Cloud Platforms

Google Cloud Platform (GCP), Google Cloud Storage (GCS).

Version Control

Git.

Scientific Computing

MATLAB, Octave.

Natural Language Processing (NLP)

Tokenization, Stemming, TF-IDF.

Reinforcement Learning

Deep Q-Learning, Replay Memory, Epsilon-Greedy Strategy.

Education

Indian Institute of Technology Bombay (IIT Bombay)

→
Bachelor of Technology (B.Tech.) Metallurgical Engineering and Materials Science Grade: 8.17 CPI

Courses

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Reinforcement Learning

Data Structures and Algorithms

Probability and Statistics

Linear Algebra

Calculus

Awards

Crossy GC Competition Marathon Finisher

Hostel 6, IIT Bombay

Represented Hostel 6 and successfully completed a 6km long marathon in the Crossy GC competition.

Academic Branch Change

IIT Bombay

Successfully achieved a change of academic branch to Metallurgical Engineering and Material Science Department, reflecting strong academic standing.

Kabaddi Tournament 3rd Place

Spardha (IITB Sports Fest)

Represented IIT Bombay in Spardha 2022, securing 3rd place in the Kabaddi tournament against over 20 competing teams.

JEE Mains & Advanced Percentile Achievement

Joint Entrance Examination (JEE)

Achieved exceptional performance with 98.98 and 96.43 percentile in JEE Mains & Advanced, ranking among 0.15 to 0.9 million candidates.

Volunteer

Volunteer

|

Versova Beach Cleanup Campaign

→

Participated in a large-scale community cleanup initiative.

Highlights

Cleared over 2 tonnes of garbage alongside 300+ volunteers, contributing to environmental sustainability.

Volunteer

|

Abhyuday Blood Donation Drive

→

Contributed to a critical blood donation campaign.

Highlights

Successfully facilitated the procurement of over 1,500 units of blood, supporting community health initiatives.

Volunteer

|

National Service Scheme (NSS) IIT Bombay

→

Actively engaged in various social welfare activities as part of the National Service Scheme.

Highlights

Devoted over 80 hours to impactful volunteering work, demonstrating commitment to social responsibility.