Rajeev Sharma

Lead ML Engineer

Bengaluru, Karnataka, India8 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Generative AI and LLM development.
Proven track record in AI model optimization.
Strong background in communication and leadership.

Stackforce AI infers this person is a Generative AI specialist with a strong focus on model development and optimization.

Contact

rajeev3897@gmail.com LinkedIn

Skills

Core Skills

Generative Ai ToolsLarge Language Models (llm)Model Training

Other Skills

Analytical SkillsApplied Machine LearningArtificial Intelligence (AI)Automotive EngineeringAutonomous VehiclesBig Data AnalyticsChemical HandlingCommunicationComputer VisionComputer-Aided Design (CAD)Computer-Aided Engineering (CAE)Data AnalysisData ScienceDeep LearningEngineering

About

Developing Notebooks for Generative AI with features including LoRA, Long Context, Self Speculative Decoding on Qualcomm devices with deep interest in latest advancements in this field.

Experience

Qualcomm

3 roles

Senior Engineer

Promoted

Nov 2024 – Present · 1 yr 4 mos

Developing and releasing notebooks for various LLM and LVM models for Qualcomm devices.
Adding support for advanced features such as LORA, speculative decoding, self-speculative decoding, and long context handling using existing capabilities.
Innovating a prototype to extend hugging face for HTP devices.
Engineered the backend for QFlows, a no-code solution for end-to-end AI model testing on devices using WebSocket.
Implemented a langgraph-based networkx solution, enabling models like YOLOv8, Whisper, Stable Diffusion 2.1, and Llama v3.

Generative AI ToolsPython (Programming Language)PyTorchNumPyTensorFlowApplied Machine Learning+3

Engineer

Jul 2022 – Nov 2024 · 2 yrs 4 mos

Contributed to AI Studio, developing the backend for on-device AI model execution using Qualcomm’s SDKs, FastAPI, WebSocket, RabbitMQ, Redis, and Celery.
Developed a lightweight variant of AI Studio through extensive analysis and optimizations.
Developed QInference Optimizer, a CLI tool for improving model accuracy and performance on AIC backend by doing quantization and optimizing AIC backend parameters.
Developed working prototype of Plugin architecture applying SOLID principles.
Conducted sessions on computer vision, covering mathematics and topics such as stable diffusion

Generative AI ToolsNumPyTensorFlowCommunicationLarge Language Models (LLM)Prompt Engineering

AI Engineer Intern

Jan 2022 – Jun 2022 · 5 mos

Successfully, enabled various graph neural networks on different backends.

Communication

Indian institute of technology, hyderabad

Placement Coordinator

May 2021 – Jun 2022 · 1 yr 1 mo · Hyderabad, Telangana, India

Handled MNC companies while working with Office of Career Services, IIT Hyderabad.

Communication

Teksands.ai

Data Science Intern

May 2021 – Jun 2021 · 1 mo

Completed following articles along with mini projects on them -
1. Intuitive Understanding of Object Detection.
2. Introduction to capsules networks.
3. Unfolding the siamese network.
4. Introduction to transformers.
5. Regularisation techniques in neural networks.
6. Graph neural networks.

Communication

Flo mobility

Computer Vision Developer

May 2021 – Jun 2021 · 1 mo · Banglore

Trained object detection algorithms including Yolov5, EfficientDet on udacity self driving dataset.
Worked on E2E cloud server, GCP and Nvidia RTX Geforce 2060.
Researched about lane detection algorithms and segmentation algorithms.

CommunicationModel Training

Hindustan zinc

Mechanical Engineer

Jul 2018 – Aug 2020 · 2 yrs 1 mo · Ajmer, Rajasthan, India

1. Team Leader of mining Drill Rigs. Responsible for managing manpower, inventory, major assembly planning and coordination with the mining team for machine availability & reliability.
2. Asset optimization through RCFA/FMEA/RCM.
3. Improved the Drills RCA effectiveness drastically.
4. Experienced in using SAP for purchase requisition requests, maintenance related t-codes and inventory related t-codes.
5. Responsible for Safety standards of Vedanta including pre start up safety review, chemical handling, EOT cranes.
6. Coordinator for 5S at workshop.

Communication

Sae nit kurukshetra

2 roles

Captain - Formula Bharat 2018

Promoted

Apr 2017 – May 2018 · 1 yr 1 mo

1. Lead Designer of Vehicle Dynamics and chassis.
2. Responsible for overall coordination within various departments and outer relations.
3. Team completed endurance for the first time.
4. Replaced manual gear shifter with pneumatic gear shifter.
5. Weight Reduction of 20 kgs from last year's car.
6. Best overall rank - 15th.

Communication