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SAGAR SAINI // INIAS
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AVAILABLE FOR INTERNATIONAL B2B RETAINERS & REMOTE STRATEGY ROLES

Turning 60-Minute B2B Podcasts Into High-Retention Pipeline Assets.

Combining algorithmic short-form retention engineering (3M+ organic views in 60 days) with Python & AI workflow automation to scale founder authority across LinkedIn, YouTube Shorts, and Reels.

3,000,000+
Organic Views in 60 Days
4M+ / 2M+ / 500K+
Single-Asset Viral Benchmarks
20+ Founders
Custom B2B Video Audits Built
Python + AI
Automated Scripting Pipeline
01 // PROOF OF WORK & RETENTION BREAKDOWN

Featured B2B Retention Engineering

Instead of sending raw unlisted links without context, inspect the live embedded sample alongside the exact psychological breakdown used to maximize Average Percentage Viewed (APV).

ACTIVE VIDEO ID: gaWKVwfI7z0 Open in YouTube
CASE STUDY BREAKDOWN

Anatomy of a High-Retention B2B Edit

Target Metric
75%+ Avg. Percentage Viewed
0:15 - END

Authority & Seamless Loop Engineering

Instead of ending with a cliché "Follow for more" outro that triggers an immediate swipe-away, the final sentence resolves the core thesis right on the last frame— seamlessly bridging back into the 0:00 hook for >100% replay velocity.

AUDIO & PACING MECHANISM
Subtle riser + cadence cutoff that seamlessly loops the final word back into the opening frame.
B2B PIPELINE OUTCOME
Positions the founder as an undeniable category authority, driving high-intent profile visits & DMs.
Zero Fluff Intro: Sub-second vocal compression & immediate thesis hook.
Auditory Design: Layered SFX risers & acoustic pacing that guide focus.
Executive Polish: Clean, high-contrast captions built for silent LinkedIn feeds.
02 // VERIFIED ALGORITHMIC TESTING

3,000,000+ Organic Views in 60 Days

We don't guess what the algorithm rewards. Every B2B retention framework we deploy is stress-tested on dedicated lab channels with millions of organic impressions.

60-DAY SPRINT
3,000,000+

Organic views generated on a dedicated retention test page within just 2 months of launch via systematic hook split-testing.

SINGLE-ASSET PEAKS
4M / 2M / 500K

Multiple breakout viral Reels & Shorts proving repeatable retention engineering rather than one-off luck.

B2B OUTBOUND AUDITS
20+ Founders

Custom high-retention proof-of-concept video re-edits delivered to corporate founders to upgrade brand authority.

AI PIPELINE VELOCITY
>50% Faster

Pre-production & timestamp extraction turnaround achieved by combining AI research pipelines with manual pacing.

Audience Retention Curve Comparison

Why B2B founders lose viewers in the first 3 seconds—and how INIAS fixes it.

INIAS (75%+ APV) Standard Editor (30%)
100% 75% 50% 25% 0:00 (Hook) 0:03 (Critical) 0:15 (Body) 0:30 (Loop) 82% 3s Hook Hold Generic Template Drop-Off
Key Insight: Flattening the 0:03–0:15 retention curve is the #1 trigger for algorithmic push. Verified on Whop & Test Channels
ANALYTICS PROOF VAULT YouTube Studio & IG Reels

Verified Viral Milestones

Click any milestone card below or attach a local screenshot from YouTube Studio / Instagram Insights to preview it directly inside this portfolio frame.

3M+
60-Day Test Page Surge
0 to 3,000,000+ Organic Views in 2 Months
VERIFIED
4M+
Breakout Single-Reel Asset
4.0M+ Views • 2.0M+ Views • 500K+ Views
REELS LAB
WHOP
Whop High-Volume Clipping
Competitive YouTube Shorts Conversion Campaigns
SHORTS
03 // THE TECHNICAL STRATEGIST ADVANTAGE

Why Tech + Video Beats a Standard Editor

Most video editors only know timeline cuts. With a background in Python, HTML/CSS, and AI workflow engineering, I build scalable content systems.

STEP 01 // SIGNAL EXTRACTION

AI-Assisted Research & Scripting

Engineered structured AI workflows to parse 60-minute B2B podcasts, technical keynotes, and complex scientific topics—extracting high-conviction contrarian hooks in half the time.

LLM Prompt Pipelines Hook Architecture
STEP 02 // RETENTION PRODUCTION

Frame-by-Frame Visual Assembly

Advanced CapCut Desktop & Mobile execution focused on visual rhythm, custom motion callouts, dynamic executive captions, and multi-layered sound design that keeps high-ticket buyers watching.

Frame-by-Frame Pacing Auditory Retention

Python, Predictive Data & Web

Built functional software including a Python Gold Price Prediction Web App and responsive HTML/CSS web interfaces—bringing an analytical data mindset to content metrics.

Python HTML5 / CSS3 Predictive Modeling
04 // INTERNATIONAL ATS-READY CURRICULUM VITAE

Interactive & Printable Resume

Tip: Click Edit Fields Inline to customize your email/phone/degree directly on screen before clicking Save as PDF.

SAGAR SAINI

B2B Video Repurposing & Technical Content Strategist

India (Available for Global Remote Roles) • [sagar@iniassales.com]
Featured Work Sample: youtube.com/shorts/gaWKVwfI7z0

EXECUTIVE SUMMARY

Results-driven B2B Video Repurposing & Technical Content Strategist combining a technical programming background (Python, HTML/CSS, AI workflows) with proven short-form retention engineering. Experienced in transforming 60-minute B2B podcasts, founder interviews, and technical keynotes into high-converting vertical video assets. Demonstrated ability to engineer viral content loops—scaling a dedicated test channel from zero to 3,000,000+ organic views in 60 days alongside single-asset viral peaks of 4M+, 2M+, and 500K+ views—while building AI-assisted research and scripting pipelines that cut production turnaround by over 50%.

CORE COMPETENCIES & TECHNICAL STACK

• B2B Video & Retention: Long-to-Short Repurposing, 3-Second Hook Engineering, Frame-by-Frame Pacing, Visual Assembly, Auditory Retention Design
• Technical & Automation: Python, HTML5, CSS3, AI-Assisted Content Research & Scripting Workflows, Predictive Data Web Applications
• Distribution Channels: LinkedIn Video Funnels, YouTube Shorts, Instagram Reels, Multi-Channel Clipping Campaigns
• Growth & Production: CapCut (Advanced Desktop & Mobile), High-Dynamic Executive Captions, Cold Outbound Video Auditing, APV Analytics

PROFESSIONAL EXPERIENCE

Founder & Lead B2B Video Strategist — INIAS

2026 – Present | Remote
  • B2B Content Repurposing: Architect end-to-end video repurposing systems for corporate founders and B2B brands, converting raw long-form interviews into high-authority vertical video assets tailored for LinkedIn, YouTube Shorts, and Reels.
  • Frame-by-Frame Retention Engineering: Replaced generic rapid-cut templates with custom frame-by-frame visual storytelling and deliberate pacing, directly increasing Average Percentage Viewed (APV) and replay velocity.
  • Outbound Founder Auditing: Executed targeted B2B outbound campaigns—producing custom, high-retention proof-of-concept video audits for 20+ corporate founders to demonstrate immediate brand authority upgrades.
  • AI Workflow Integration: Engineered streamlined AI research and script-structuring workflows to extract high-signal soundbites from dense technical and scientific topics, reducing pre-production time by over 50%.

Independent Short-Form Content Strategist & Retention Editor

2025 – Present | Remote
  • Algorithmic Retention Testing (3M+ Views in 60 Days): Built and scaled a dedicated short-form test page to 3,000,000+ organic views within 2 months (plus breakout single assets reaching 4M+, 2M+, and 500K+ organic views) by systematically split-testing 3-second visual hooks and audio retention loops.
  • Competitive Clipping Campaigns: Selected for high-volume Whop content clipping campaigns, producing high-converting YouTube Shorts engineered to maximize click-through rate and channel subscriber conversion.
  • Educational & Scientific Scripting: Researched and structured complex educational narratives (including evolutionary biology and biomechanics) into high-retention visual scripts for broad digital audiences.

TECHNICAL PROJECTS & AUTOMATION

Gold Price Prediction Web Application (Python, HTML5, CSS3): Developed a predictive model in Python to analyze and forecast gold price movements from historical data, paired with a custom responsive HTML/CSS web interface.
B2B Interactive Video Strategist Portfolio (HTML5, Tailwind CSS, JavaScript): Engineered a custom dark-mode web portfolio to host contextualized YouTube Shorts case studies, retention curve breakdowns, and ATS documentation.
Education: [Diploma in Computer Science / VIDYA UNIVERSITY (2023-2026)]
Languages: English (Professional Working Proficiency), Hindi (Native)