Shashank Shekhar

Startup: Building and Iterating on AI ProjectsJAN 2023 - Present

• Trained and fine-tuned various language models (LLMs), diffusion models (T2I) and audio models.
• Successfully implemented a range of foundation models from scratch, spanning audio, image generation, and language understanding tasks.
• Adapt pre-trained LLMs to specific domains and tasks using targeted datasets. Experiment with fine-tuning techniques to enhance LLM performance.
• Design and implement Retrieval-Augmented Generation (RAG) systems, integrating LLMs with company knowledge base.
• Optimize LLM architectures, hyperparameters, and training strategies to improve accuracy, efficiency, and reduce bias.
• Solid understanding of data processing pipelines and techniques for working with large images and text datasets.
• Extensive experience using PyTorch to train and deploy machine learning models. Deep understanding of various ML Framework core concepts and features.

Honeywell India (Impact brand), Pune - Senior ML EngineerJuly 2022 - Nov 2022

• Deployed light weight Object Detection model on Amlogic Neural Hardware Accelerator.
• Implemented a novel camera tampering algorithm using the OpenCV C-API and integrated it into the existing codebase.
• Helped simplify and debug the entire 20k line of C code.

Startup Idea, Distributed Facial Recognition JAN - APR 2022

• Implemented Bitcoin Protocol from Scratch in JavaScript: https://shashekhar.github.io/bitcoin-testnet/

Quest Global, Bangalore - Senior ML Engineer JULY - DEC 2021

• Developed an unsupervised anomaly detection algorithm to identify irregularities in ambient light sensor data.

Tarsyer, Pune - Computer Vision Engineer SEP 2019 - Mar 2021

• Implemented and Deployed Vision algorithms for real-time detection and tracking (Kalman Filter) on edge devices.
• The size of the custom YOLO object detection model was nearly 200kB.
• Bearing counting model deployed in production: https://youtube.com/shorts/LcIqxHFq1h0
• Responsible for the scientific and engineering aspects of all machine learning projects.

Swaayatt Robots (Intern) - Reinforcement Learning AUG 2018 - MAY 2019

• Successfully Tested Deep RL algorithm on self driving (toy) Car. Studied Optical Flow, SLAM etc.
• Experimented with RL Algorithms like variants of DQN, Vanilla Policy Gradient, PPO, TRPO in OpenAI Gym environment for both Discrete and Continuous action space.