Manali Sharma

Co-Founder

Chandigarh, India11 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI governance and responsible AI solutions.
  • Pioneered AI-driven public sector systems for safety.
  • Led transformative projects in 5G and machine learning.
Stackforce AI infers this person is a leader in AI and telecommunications innovation.

Contact

Skills

Core Skills

Ai AdoptionDigital MarketingAi GovernanceMetaverse DevelopmentAi System DevelopmentPublic Sector SolutionsNlp DevelopmentCustomer Experience EnhancementHuman Computer InteractionTeachingSimulation DevelopmentRobotics Development5g Communication ResearchMachine LearningComputer Vision5g ResearchTelecommunications5g Protocol DevelopmentWireless Communication ResearchWireless Communication

Other Skills

AI-driven solutionsMarketingDigital agenciesMetaverse platformsGlobal conferencesEngagement experiencesAI systemsSecure calling infrastructureMultilingual NLPEdge AINLPCustomer ExperienceSoftware AtomicityAutonomous CarsInternet Protocol

About

AI must be built not only for performance, but for trust, safety, and societal impact. That belief drives my current work. At BlueDot Impact, I engage in discussions on AI governance and responsible futures. With IEEE, I contribute to the development of AI-powered metaverse platforms that reimagine participation and accessibility at global conferences. At E2M Solutions, I help digital agencies across North America, Australia, and Europe adopt responsible AI solutions that boost efficiency and revenue without compromising transparency or reliability. I see this as part of a larger collaborative culture of AI safety — ensuring innovation is balanced with accountability, inclusivity, and long-term societal benefit. My journey began in telecommunications research at Samsung, working on 5G standards, mmWave prototypes, and operator trials with Verizon, KT, and others. Later, at NYU Wireless and through research roles at InterDigital, Bell Labs, UCLA, and Toyota, I explored how machine learning could strengthen networks and enable emerging applications like robotics and connected mobility. At Telesoft and my entity Tetranetics, I carried these lessons into applied innovation — leading the shift of communication infrastructure into secure cloud-based SaaS models and designing AI-driven public-sector systems that demanded reliability, multilingual inclusivity, and safeguards against misuse. Across research, industry, and public service, I’ve seen firsthand that progress isn’t just about technical breakthroughs — it’s about building a culture where AI is adapted by everyone and it benefits everyone.

Experience

11 yrs 3 mos
Total Experience
1 yr 6 mos
Average Tenure
11 mos
Current Experience

E2m

AI Adoption Specialist

Jul 2025Present · 10 mos

  • Assisted marketing and digital agencies across North America, Australia, and Europe in embracing AI-driven solutions as future efficiency and revenue streams.
AI-driven solutionsMarketingDigital agenciesAI AdoptionDigital Marketing

Ieee metaverse

Researcher

Jun 2025Present · 11 mos

  • Designing metaverse platforms at IEEE, focused on creating innovative engagement and participation experiences for global conferences.
Metaverse platformsGlobal conferencesEngagement experiencesAI GovernanceMetaverse Development

Tetranetics

Founder COO and Software Architect

Jul 2023Jul 2025 · 2 yrs · Mumbai, Maharashtra, India · On-site

  • Built transformative AI systems — secure calling infrastructure, multilingual NLP, and Edge AI powering public safety and government platforms.
AI systemsSecure calling infrastructureMultilingual NLPEdge AIAI System DevelopmentPublic Sector Solutions

Telesoft

Research Development Lead

Oct 2022Jun 2025 · 2 yrs 8 mos · Mumbai, Maharashtra, India

  • Bringing Software Atomicity to Customer Experience using NLP.
NLPCustomer ExperienceSoftware AtomicityNLP DevelopmentCustomer Experience Enhancement

Toyota infotechnology center, u.s.a., inc.

Hybrid Vehicular Micro Cloud Research Engineer INTERN

Jun 2022Sep 2022 · 3 mos · Mountain View, California, United States

University of california, los angeles

Research Assistant

Oct 2021Jun 2022 · 8 mos · Los Angeles

  • Human Computer Interaction
  • Autonomous Cars
Human Computer InteractionAutonomous Cars

Interdigital, inc.

Research Intern

Jun 2020Mar 2021 · 9 mos · New York, United States

New york university

Teaching Assistant

Jan 2020May 2020 · 4 mos · Brooklyn, New York

  • Internet Protocol & Architecture
  • Creation of an Online Simulation Setup on GENI to make the lab virtual during the pandemic.
  • 16 students. 10 Assignments.
  • 80% of my class scored an A in the course.

Nokia bell labs

Machine Learning Intern

Jun 2019Aug 2019 · 2 mos · Murray Hill, New Jersey

  • Face detection, Face Recognition, OCR Detection over CBRS, WiFi, 5G/4G link.
  • Pretty amazing stuff here.
Robotics5G CommunicationSNR PredictionRobotics Development5G Communication Research

Nyu wireless

Research Assistant

Aug 2018May 2020 · 1 yr 9 mos · New York, United States

  • Advisor: Prof. Sundeep Rangan
  • Robotics over 5G
  • SNR Prediction and Blockage prediction for 5G and THz communication systems.
Internet ProtocolOnline Simulation SetupTeachingSimulation Development

Samsung r&d institute india - bangalore private limited

4 roles

Lead Engineer - 5G Research & Development

Mar 2018Jul 2018 · 4 mos

  • 3GPP contributions on:
  • Conditional Handover
  • On Demand SI
  • V2X
Face DetectionFace RecognitionOCR DetectionMachine LearningComputer Vision

Senior Software Engineer - 5G Protocol Stack Research & Development

Promoted

Mar 2016Feb 2018 · 1 yr 11 mos

  • 5G Software Development
  • Research in Wireless communication- MAC & above
5G ResearchConditional HandoverV2XTelecommunications

Software Engineer - 5G Protocol Stack Research & Development

Promoted

Jul 2014Feb 2016 · 1 yr 7 mos

  • 5G Research and Development
  • Wireless Communication Research: MAC, RLC
5G Software DevelopmentWireless Communication5G Protocol DevelopmentWireless Communication Research

5G Research Intern

Jan 2014Jun 2014 · 5 mos

  • 5G Research on Beam Forming Alogrithms - PHY & MAC
  • Designed and simulated an algorithm to determine the best Base Station and Mobile Station beam pair for 5G. The simulation results proved that the designed algorithm could find importance in IoT environment where using the traditional approach of having the receiver sent the Beam Measurement Reference Signal for selecting the best beam pair may cause excessive battery consumption and increased signalling traffic.
5G ResearchWireless Communication

Education

UCLA

Doctor of Philosophy - PhD — Machine Learning for Vehicular Communication

Sep 2021May 2026

NYU Tandon School of Engineering

Masters — Machine Learning and Networking

Jan 2018Jan 2020

Thapar Institute of Engineering & Technology

Bachelor’s Degree — Computer Engineering

Jan 2010Jan 2014

Sant Longowal Institute of Engg. & Tech., Longowal

Diploma in Computer Applications — Computer Applications

Jan 2009Jan 2011

Governmment Model Senior Secondary School - Sector 37

Senior Secondary — Non-medical

Jan 2007Jan 2009

Yadavindra Public School

Matriculation

Jan 2000Jan 2007

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