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Abhishikta Panja

Lead ML Engineer

San Diego, California, United States7 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in developing reliable multi-agent AI systems.
  • Led enterprise-scale GenAI systems at Qualcomm.
  • Innovative solutions for healthcare through multimodal machine learning.
Stackforce AI infers this person is a Healthcare and EdTech specialist with a strong focus on AI and machine learning.

Contact

Skills

Core Skills

Agentic Ai DevelopmentLarge Language Models (llm)Multimodal Machine LearningPython (programming Language)Deep LearningBioinformatics And Genomic Data AnalysisC (programming Language)Functional SafetySystem ModellingFull-stack DevelopmentAsp.net MvcCommunication Protocols5gWeb Development

Other Skills

Project ManagementContext EngineeringHarness EngineeringMLOpsPyTorchMATLABSignal ProcessingHigh Performance Computing (HPC)Hyperparameter TuningMagicDrawCarSimISO 26262MATLAB SimulinkData EngineeringSQL

About

I work on one of the core challenges in agentic AI — making multi-agent systems reliable, measurable, and trustworthy. At Qualcomm, I lead the development of enterprise-scale GenAI systems end-to-end, from identifying the problem and designing the architecture to deploying and iterating with real users. My work focuses on harness and context engineering, not just using stronger models, but designing the right scaffolding, memory, and control loops to consistently unlock their capabilities. I build evaluation frameworks help us understand how these systems behave, where they fail, and how to make them more consistent beyond controlled demos. I’m especially interested in challenges like long-horizon reasoning, coordinating multiple agents, and evaluating systems that don’t have a single “right” answer. Ultimately, I want to build AI systems that learn from feedback and improve over time, becoming more dependable, adaptive, and grounded in real-world use.

Experience

7 yrs 5 mos
Total Experience
1 yr 9 mos
Average Tenure
10 mos
Current Experience

Qualcomm

Senior Machine Learning Engineer - GenAI

Jul 2025Present · 10 mos · San Diego, CA · On-site

Project ManagementLarge Language Models (LLM)Agentic AI DevelopmentContext EngineeringHarness EngineeringMLOps

Uc san diego

2 roles

Graduate Machine Learning Researcher | Lerman Lab

Promoted

Jun 2024Jul 2025 · 1 yr 1 mo · San Diego, California, United States

  • Under the guidance of Dr. Imanuel Lerman, developed a multimodal machine learning model that combines time-series ECG data and images to simultaneously detect multiple cardiovascular diseases in patients.
  • Implemented signal denoising and feature extraction techniques, and built a scalable pipeline automating data preprocessing, model training, and inference—efficiently handling large ECG datasets to enhance processing speed and data handling capabilities.
Python (Programming Language)Multimodal Machine LearningPyTorchMATLABSignal Processing

Tutor/Reader for Engineering Computation (ECE 15)

Jan 2024Mar 2024 · 2 mos · San Diego, California, United States · On-site

  • Provided individual and group tutoring, enhancing student understanding and performance in C programming concepts.
  • Developed and graded examination materials, including creating question papers and assessing student assignments and exams.
C (Programming Language)

Uc san diego jacobs school of engineering

Deep Learning Researcher

Jun 2024Sep 2024 · 3 mos · San Diego, California, United States · On-site

  • Developed models for SARS-CoV-2 gene mutation prediction under the mentorship of Dr. Yatish Turakhia and Dr. Bill Lin in the Summer Research Internship Program (SRIP)
  • Built and trained transformer and CNN models to predict COVID-19 genomes in both nucleotide and spike protein spaces, enhancing model performance through extensive hyperparameter tuning and ablation studies.
  • Optimized data preprocessing, model training, and inference speeds using GPU support, mixed precision, and optimized kernels, achieving faster and more efficient computations.
Deep LearningBioinformatics and Genomic Data AnalysisHigh Performance Computing (HPC)Hyperparameter Tuning

Ford motor company

2 roles

Associate Engineer

May 2023Aug 2023 · 3 mos

  • Developed safety mechanisms to mitigate risks posed by ADAS features, ensuring compliance with ISO 26262 standards.

Junior Engineer

Aug 2021May 2023 · 1 yr 9 mos

  • Conducted Hazard Analysis and Risk Assessments (HARA), developed Functional Safety Concepts (FSC), and performed Fault Tree Analysis (FTA) to enhance system safety integrity.
  • Modeled vehicular features using Systems Modeling Language (SysML) in MagicDraw, contributing to precise system architectures and designs.
  • Tested and validated infotainment systems to ensure reliability and user safety.
  • Played a crucial role in onboarding new employees and facilitating knowledge transfer across teams.
System ModellingMagicDrawCarSimFunctional SafetyISO 26262MATLAB Simulink+3

Cognizant

Programming Analyst Trainee

Mar 2021Jul 2021 · 4 mos · Remote

  • Developed a .NET application for an e-learning platform. Built both the user interface (UI) and backend logic, creating an intuitive user experience and robust application functionality.
  • Designed and implemented the database architecture, ensuring efficient data storage, retrieval, and security for the application.
SQLJavaScriptC#ASP.NET MVCFull-Stack DevelopmentCascading Style Sheets (CSS)+1

Samsung india

Student Researcher

Jan 2020Aug 2020 · 7 mos

  • Engineered "Unreliable QUIC" networking protocol to bypass lost packet retransmissions by delivering the next byte range.
  • Reduced latency and improved video streaming efficiency by 10\% and boosted file transfer speeds over TCP.
GolangCommunication Protocols

Ericsson

5G Solution Architecture Intern

Jun 2019Jun 2019 · 0 mo · Mumbai, India

  • Understanding 4G and 5G network architectures and explored cloud computing technologies, gaining expertise in cellular networks, wireless communication systems, and cloud computing concepts.
5G

Arya communications and electronics services private limited

Customer Relationship Management Intern

Dec 2018Dec 2018 · 0 mo · Mumbai, Maharashtra, India

  • Developed web applications and dashboards for Customer Relationship Management (CRM), enhancing client engagement and data analysis capabilities.
Web DevelopmentData Analytics

The project team

Technical Team Member

Nov 2017May 2021 · 3 yrs 6 mos

Raspberry PiC++ArduinoBlockchainESP8266

Education

UC San Diego

MS in Electrical and Computer Engineering — Machine Learning and Data Science

Sep 2023Jun 2025

SRM IST Chennai

Bachelor's degree — Electronics and Communication Engineering

Jan 2017Jan 2021

Thakur Vidya Mandir High School and Junior College, Mumbai, Maharashtra

Jan 2015Jan 2017

Lokhandwala Foundation School

Jan 2004Jan 2015

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