Abhishek M

Product Manager

Bengaluru, Karnataka, India4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Shipped three AI products to production.
Improved autonomous vehicle perception by 17%.
Increased user retention by 13% through data-driven insights.

Stackforce AI infers this person is a Product Manager specializing in AI-driven solutions across EdTech and Automotive sectors.

Contact

Skills

Core Skills

Product ManagementProduct DiscoveryUser ResearchComputer VisionMarketing Campaign Management

Other Skills

Agentic AICohort AnalysisA/B TestingAIPDLC FrameworkFeature PrioritizationModel EvaluationYOLOR-CNNSuccess MetricsTechnical CommunicationCross-functional CollaborationFunnel AnalysisData VisualizationCampaign OptimizationTechnical Documentation

About

I turn complex AI into products people actually use. Most AI projects stay in notebooks. I've shipped three products to production: a computer vision system that reduces aviation fuel costs by 4-5%, a GenAI app helping Ayurvedic doctors make faster decisions, and a fashion platform that allows over 50 people to customize their style daily. What I do: I'm a Product Manager who speaks to both engineers and customers. My background in Computer Science (Cybersecurity) means I can evaluate a YOLO model, write SQL to dig into user behavior, and explain why we're not shipping that feature yet, all in the same meeting. Recent work: 1. At Intellytix: Improved autonomous vehicle perception by 17% through systematic model testing 2. At Jyesta: Increased retention 13% by talking to 30+ students and A/B testing what actually mattered 3. ClearSkiesAI: Built a contrail detector (0.84 IoU) that optimizes flight routes How I work: I validate before I build (AIPDLC, Jobs-to-be-Done, Four Risks). I run experiments, not opinions. And I work in SQL, Python, Figma, and Jira, whatever closes the gap between "cool idea" and "shipped product." What's next: Looking for Product Manager or APM roles where technical depth accelerates product-market fit. Especially interested in teams building AI products that solve real problems, not just impressive demos. Let's talk: abhishekmukunda9303@gmail.com

Experience

4 mos

Total Experience

4 mos

Average Tenure

4 mos

Current Experience

Trinity mobility

Associate AI Product Manager

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

Driving product strategy for agentic AI and generative AI solutions in mobility. Collaborating with ML engineers and cross-functional teams to develop AI-powered features that enhance operational efficiency and user experience. Defining product requirements, establishing success metrics, and ensuring responsible AI implementation across the platform.

Product ManagementAgentic AI

Jyesta corporate entity

Business Development Intern (Product Focus)

Mar 2025 – Oct 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

1. Led product discovery and validation for Molecule, a student engagement platform, using data-driven frameworks to drive measurable growth.
2. Increased feature adoption by 13% through user research with 30+ students using Jobs-to-be-Done methodology and cohort analysis
3. Boosted user engagement by 15% by designing and A/B testing 3 prototypes with statistical rigor
4. Applied the Four Risks Framework and AIPDLC to evaluate 5 product ideas, prioritizing the top 2 for development
5. Recognized as a Top 5% performer for measurable product impact
Skills: User Research, Cohort Analysis, A/B Testing, AIPDLC Framework, Product Discovery, Feature Prioritization

User ResearchCohort AnalysisA/B TestingAIPDLC FrameworkProduct DiscoveryFeature Prioritization

Intellytix technosolutions llp

Product Analyst Intern

Oct 2023 – Mar 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

1. Enhanced autonomous vehicle perception systems through systematic model evaluation and cross-functional collaboration.
2. Improved low-light detection accuracy by 17% by benchmarking CV models (YOLO, R-CNN, SSD) and selecting optimal architecture
3. Delivered production-ready model with <50ms inference speed and <200MB size, validated on 5,000+ images with 95% consistency
4. Collaborated with ML engineers and product teams to deliver actionable insights for 3 enterprise clients
5. Co-authored a research paper, improving implementation efficiency by 20%
6. Applied the Four Risks Framework to assess production feasibility and scalability
Skills: Computer Vision, Model Evaluation, YOLO, R-CNN, Success Metrics, Technical Communication, Cross-functional Collaboration

Computer VisionModel EvaluationYOLOR-CNNSuccess MetricsTechnical Communication+1

Under25

Event and Marketing Intern

Sep 2023 – Mar 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

1. Optimized engagement for India's largest youth summit (60,000+ participants) using data-driven campaigns and funnel analysis.
2. Increased engagement by 12% through A/B-tested content strategies
3. Improved community messaging CTR by 18% with targeted campaigns
4. Reduced drop-offs by 15% by identifying a 48-hour retention window and implementing automated follow-ups
5. Built an Excel dashboard for real-time funnel tracking and performance analysis
Skills: Funnel Analysis, A/B Testing, Cohort Analysis, Data Visualization, Campaign Optimization

Funnel AnalysisA/B TestingCohort AnalysisData VisualizationCampaign OptimizationMarketing Campaign Management