Abhijeet Khanna

AI Researcher

San Diego, California, United States13 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a global team of 20+ engineers at Qualcomm.
  • Developed enterprise-grade Generative AI applications.
  • Spearheaded Modem AI design for on-device intelligence.
Stackforce AI infers this person is a leader in AI and Machine Learning for enterprise applications.

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Skills

Core Skills

Generative AiMlopsMachine LearningDeep LearningComputer Vision

Other Skills

AWS SageMakerAlgorithmsAmazon EC2Amazon Web Services (AWS)AnacondaArtificial Intelligence (AI)Artificial Neural NetworksCC++Data AnalysisData AnalyticsData MiningData ScienceData StructuresDocker

About

As an AI Tech Lead at Qualcomm, I lead a global team of 20+ engineers across San Diego and India, focused on building enterprise-grade Generative AI applications, developing and deploying on-device deep learning solutions for Modem AI, and architecting scalable MLOps and LLMOps frameworks. 🔹 What I Do: Enterprise GenAI Systems: Build robust, scalable GenAI applications across business units to enable intelligent automation and cross-org AI integration. Agentic AI Innovation: Drive cutting-edge applications of Agentic AI for code generation, conversational agents, and custom workflow orchestration. Small Language Models (SLMs): Lead development of SLMs for enterprise use cases using post-training techniques like SFT and RLFT, and design sophisticated evaluation strategies powering internal testbenches at scale. Modem AI: Spearhead the design and deployment of ML/DL algorithms optimized for modem, pushing the boundaries of on-device intelligence. MLOps/LLMOps: Architect and scale internal infrastructure to accelerate experimentation, fine-tuning, and deployment of LLMs across the enterprise. 🎓 Academic Foundation: I hold a Master’s degree from Carnegie Mellon University (2018), where I specialized in Applied Machine Learning for large-scale Computer Vision and NLP applications. My research at the CMU Robotics Institute shaped my deep learning expertise and practical problem-solving mindset.

Experience

13 yrs
Total Experience
2 yrs 7 mos
Average Tenure
6 yrs 1 mo
Current Experience

Qualcomm

3 roles

Senior Staff AI Engineer

Promoted

Nov 2025 – Present · 7 mos · San Diego, California, United States · On-site

  • Leading a global team focused on building foundational AI technologies and developing enterprise-grade AI applications and systems, with a focus on advancing Agentic AI to power Qualcomm’s GenAI initiatives.
  • Spearheading the design and development of Modem AI to enhance Qualcomm's Edge AI capabilities.
Generative AIMachine LearningDeep LearningLarge Language Models (LLM)MLOpsArtificial Intelligence (AI)

Staff AI Engineer

Promoted

Dec 2023 – Nov 2025 · 1 yr 11 mos · San Diego, California, United States · On-site

  • Enterprise GenAI Systems: Build robust, scalable GenAI applications across business units to enable intelligent automation and cross-org AI integration.
  • Agentic AI Innovation: Drive cutting-edge applications of Agentic AI for code generation, conversational agents, and custom workflow orchestration.
  • Small Language Models (SLMs): Lead development of SLMs for enterprise use cases using post-training techniques like SFT and RLFT, and design sophisticated evaluation strategies powering internal testbenches at scale.
  • Modem AI: Spearhead the design and deployment of ML/DL algorithms optimized for modem, pushing the boundaries of on-device intelligence.
  • MLOps/LLMOps: Architect and scale internal infrastructure to accelerate experimentation, fine-tuning, and deployment of LLMs across the enterprise.
Generative AIMachine LearningDeep LearningLarge Language Models (LLM)MLOpsArtificial Intelligence (AI)

Senior Machine Learning Engineer

May 2020 – Dec 2023 · 3 yrs 7 mos · San Diego, California, United States · On-site

  • Spearheading development of several machine learning models for optimizations in Qualcomm's 5G Modem.
AWS SageMakerPyTorchPythonDeep LearningAmazon Web Services (AWS)Machine Learning Algorithms+5

Oben, inc

Machine Learning Engineer

Sep 2018 – Mar 2020 · 1 yr 6 mos · Pasadena, California · On-site

  • Responsible for building new deep learning algorithms for 2D/3D human pose estimation to create a pipeline for ObEN’s Personal AI avatars and advancing their capabilities for AI Dancing. This involved implementing a technique using domain adaptation and adversarial training to make it more robust towards in the wild data.
  • Developed a novel deep learning architecture for doing Pose guided Image Synthesis using GAN’s in order to achieve 2D dance transfer given a source subject and target motion using style transfer techniques. This project also involves collecting in-house dance/action videos, building a complete data pre-preprocessing pipeline from scratch.
  • Developing a new end to end pipeline for animating ObEN's virtual avatars by predicting conversational style gestures for the given subject data from raw audio/speech. This includes collecting in-house data using Motion Capture , building the entire data pre-processing pipeline and coming up with a novel deep neural network architecture for training and evaluating this audio-visual task.
Computer VisionPyTorchOpenCVPythonDeep LearningMachine Learning Algorithms+1

Carnegie mellon university

2 roles

Graduate Teaching Assistant

Jan 2018 – May 2018 · 4 mos · Greater Pittsburgh Region

  • Course: Introduction to Machine Learning(10-601), Spring 2018
  • Department: Machine Learning Department
  • Advisor: Matt Gormley
  • Responsibilities: Designing and testing new questions, recitations, grading and holding office hours specifically for homeworks on Neural Networks and Deep learning and DImensionality Reduction.

Graduate Research Assistant

May 2017 – Jul 2018 · 1 yr 2 mos · Greater Pittsburgh Region

  • Conducted research in Deep learning and 3D Vision.
  • Worked on Learning 3D volumetric cubic representations of objects from a single view 2D image in Prof. Abhinav Gupta's Computer Vision Group, Robotics Institute.
  • See under Projects: "Learning 3D Volumetric Representations from 2D Images of objects" for more details.
Computer VisionPyTorchDeep LearningKeras

Nxp acquires freescale semiconductor

2 roles

Design Engineer

Jun 2014 – Dec 2016 · 2 yrs 6 mos · Noida, Uttar Pradesh, India

  • Design Engineer in Digital Networking System on Chip(SoC) Team working on ARM-based multicore architecture products.
  • Handled design verification for timely delivery of test suites and plans for ARM A72/A53 Processor, Memory Management Unit SMMU-500 and Interrupt Controller GIC-400 for ARM v8 architecture based SoC's.
  • Integrated verification environments for AMBA protocols like AXI, ACE, and CHI for these IPs.
  • Conducted and managed verification of Core and L1 cache system on Freescale's StarCore (SC3900) DSP.
  • Handled complete ownership of verification of Freescale's Trust Architecture building new flows to verify Low Power isolated design along the way.
  • Mentored new grads on technologies and standard chip protocols in the industry.

Intern

Jan 2014 – Jun 2014 · 5 mos · Noida, Uttar Pradesh, India

  • Built an Electronic Design Automation (EDA) tool for Dynamic Power optimization by modifying the actual SoC design/netlist.
  • Implemented a novel way to verify Pipeline Flops in a SoC which vastly helped reduce SoC verification cycle time.

Honeywell

Technical Intern

Jun 2013 – Aug 2013 · 2 mos · Bangalore

  • Developed firmware for Comfort-Point Controllers for Building and Automation Control Networking (BACnet) Stack at Honeywell Building Solutions team and architected a new form of System Level Alarm detection and reporting.

Robomanipal

Team Lead

Apr 2012 – Aug 2013 · 1 yr 4 mos · Udupi, Karnataka, India

  • One of the Team Leads of RoboManipal Lunabotics. Participated in NASA Lunabotics Mining Competition and stood at the 19th rank from 50 teams for the Joe Kosmo Award for Excellence.
  • Responsibilities: Design and development of control system for the Lunabot, systems engineering analysis and administrative responsibilities

Thinnk ware

Trainee

May 2011 – Jul 2011 · 2 mos · Noida

  • Image Processing in MATLAB applied in Autonomous Robotics.

Education

Carnegie Mellon University

Master’s Degree — Electrical and Computer Engineering

Jan 2017 – Jan 2018

Manipal Institute of Technology

Bachelor's Degree — Electronics & Communication

Jan 2010 – Jan 2014

St. Marks Sr Sec Public School, New Delhi

High School — Science

Jan 1998 – Jan 2010

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