Amaan Nehru

Operations Associate

New York, New York, United States6 yrs 5 mos experience

Highly Stable

Key Highlights

Proven ability to bridge technology and user needs.
Expertise in IoT and wireless connectivity solutions.
Strong background in venture analysis and product strategy.

Stackforce AI infers this person is a versatile Product Manager with strong technical and analytical skills in IoT and venture capital.

Contact

Skills

Core Skills

Venture AnalysisProduct StrategySoftware EngineeringIot DevelopmentMachine Learning

Other Skills

Technical DiligenceMarket AnalysisProduct-Market FitData AnalysisStakeholder CommunicationIoTWireless ConnectivityPower OptimizationSoftware DevelopmentSecurityDeep LearningImage ProcessingSoftware as a Service (SaaS)PL/SQLPython (Programming Language)

About

I have a proven ability to work with cross-functional teams to solve complex problems and deliver impactful solutions. My technical expertise helps me communicate effectively with engineers, while my business acumen sharpens my understanding of strategy, user needs, and market trends.As a Product Manager, I aim to bridge the gap between technology and users, ensuring that every product I work on delivers real value. I’m eager to contribute to teams prioritising innovation, collaboration, and customer success.

Experience

6 yrs 5 mos

Total Experience

5 yrs

Average Tenure

1 yr 5 mos

Current Experience

New york university

3 roles

Graduate Teaching Assistant

Aug 2025 – Present · 10 mos · On-site

Teaching Assistant for a graduate-level Economics & Strategy course, driving curriculum support and mentoring 20+ student teams to apply economic theory and competitive strategy frameworks to real-world business problems, strengthening analytical rigour and decision-making quality across course deliverables.

Programming/ Office Asst

May 2025 – Present · 1 yr 1 mo · On-site

As Programming/Office Assistant to the Student Engagement Coordinator at ICNYU, I support student-focused initiatives by coordinating events, managing logistics and stakeholder communication. I help plan programs ranging from small gatherings to large events with 250+ attendees, provide administrative support to student organisations, and ensure smooth, impactful experiences for the NYU Student community.

Engagement Ambassador

Jan 2025 – Jul 2025 · 6 mos · On-site

Collaborate with NYU alumni to raise critical scholarship funds for international and undocumented students, advocating for equitable access to education for those ineligible for federal aid.

Endless frontier labs

Venture Analyst (Deep Tech Track)

May 2025 – Sep 2025 · 4 mos · Manhattan, NY · On-site

The Endless Frontier Labs (EFL) is a nine-month, goal-oriented mentorship program at NYU Stern School of Business designed for early-stage science and technology startups worldwide.
As a Deep Tech Analyst at Endless Frontier Labs, I supported the identification, evaluation, and recruitment of promising early-stage science and technology startups for the EFL 2026 cohort, with a focus on domains including IoT, semiconductors, edge AI, and applied machine learning. Drawing on my background as an engineer in the field and my experience working on large-scale connected systems, my role bridged deep technical diligence with venture and product-oriented thinking.
I contributed to assessing the technical feasibility, scalability, and market readiness of early-stage startups by analysing underlying architectures, go-to-market assumptions, and alignment with real-world deployment constraints. By tracking global trends in connectivity, edge intelligence, and semiconductor-driven innovation, evaluating market dynamics, and identifying startups with strong product–market fit, I strengthened EFL’s sourcing and selection pipeline. In parallel, I supported data analysis and internal process optimisation while clearly communicating EFL’s value proposition to founders and ecosystem stakeholders. Through this work, I successfully assisted in launching the 2026 EFL cohort alongside a multidisciplinary team of deep-tech subject-matter experts.

Technical DiligenceMarket AnalysisProduct-Market FitData AnalysisStakeholder CommunicationVenture Analysis+1

Nyu stern school of business

Venture Analyst

May 2025 – Sep 2025 · 4 mos · Manhattan, New York, United States · On-site

Qualcomm

2 roles

Software Engineer

Promoted

Jul 2021 – Jul 2024 · 3 yrs

Specialisation in IoT, wireless connectivity, and power optimisation. Developed a Power-saving mode improving battery life by 10% for wearables. Engineered NTN on Narrow Band LTE, enabling seamless cellular-satellite connectivity across 19,000+ sq miles in 4 continents. Automated unit testing, reducing post-production issues by 22%. Designed a flight mode detection algorithm for real-time shipment tracking. Led competency-building, mentoring, and RCA initiatives to enhance team efficiency and product reliability.

IoTWireless ConnectivityPower OptimizationSoftware DevelopmentSoftware EngineeringIoT Development

Associate Software Engineer

Jul 2019 – Jul 2021 · 2 yrs

Specialisation in LTE power optimization and security. Developed Extended DRX protocols, cutting IoT device power consumption by 50% during idle periods. Enhanced eDRX, PSM, and data concurrency issue resolution, improving response times. Resolved critical customer-reported issues within a 24-hour TAT, ensuring seamless mobility management and CIoT optimizations.

Power OptimizationSecuritySoftware DevelopmentSoftware EngineeringIoT Development

Interra systems

ML Intern

May 2018 – Jul 2018 · 2 mos · Noida Area, India · On-site

Designed a very deep convolutional network model to solve the problem of dropouts in images. Implemented Deep Blind Image Inpainting using Keras and TensorFlow, leveraging U-net and W-net architectures for improved image segmentation. This solution was adopted as a baseline by Google for detecting video dropouts and integrated into ORION-OTT, enhancing live and VOD streaming quality.

Deep LearningImage ProcessingMachine Learning