Sanchit Wadehra

Full Stack Engineer

Bengaluru, Karnataka, India3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable cloud infrastructures.
Proficient in full-stack development with a focus on AI.
Strong experience in automating CI/CD pipelines.

Stackforce AI infers this person is a Full-Stack Engineer specializing in Cloud Infrastructure and AI solutions.

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Skills

Core Skills

AwsFull-stack DevelopmentMachine LearningBack-end Web Development

Other Skills

TerraformGitHub ActionsAWS MediaConvertTypeScriptMulti-AZ deploymentsAWS OIDCFFmpegPrismaClientETL pipelineAWS EC2PythonFastAPINext.jsPlaywrightData Standardization

Experience

3 mos

Total Experience

3 mos

Average Tenure

3 mos

Current Experience

Colare

Full Stack Engineer

Feb 2026 – Present · 3 mos · San Francisco, CA · Remote

Spearheaded the transition to Infrastructure-as-Code (IaC) using Terraform, architecting a highly available AWS foundation (VPCs, EC2, RDS, S3) with Multi-AZ deployments and automated backups to eliminate manual drift and ensure system reliability.
Engineered secure, automated CI/CD pipelines via GitHub Actions and AWS OIDC, enabling strict zero-downtime deployments and establishing a credential-less, automated cloud security posture.
Architected a scalable HTTP Live Streaming (HLS) video pipeline utilizing AWS MediaConvert, entirely replacing a legacy in-memory FFmpeg architecture to resolve critical server overloads, enabling seamless random seeking for 1.5-hour assessment videos.
Led a massive codebase standardization initiative across the monorepo, eradicating severe technical debt by implementing strict PrismaClient singleton patterns, centralizing API routing, and enforcing robust TypeScript type safety, DRY principles and secure environment variable configurations.

TerraformAWSGitHub ActionsAWS MediaConvertTypeScriptFull-Stack Development

Scaler ai labs

SDE Intern

Sep 2025 – Feb 2026 · 5 mos · Bengaluru · On-site

Foundational Core AI Platform - Direct Report to Principal & Product Leads
Architected a fault-tolerant ETL pipeline for Meta's multi-app RL training environment in a 48-hour sprint, extracting 100% of Rover’s US public data (55.5 GB of profiles, reviews, services, and metadata) in 4.5 hours by bypassing Cloudflare TLS via Playwright XHR, implementing a geospatial density-grid approach to bypass 10k pagination limits, and orchestrating a 50-node AWS EC2 fleet in staggered waves.
Owned the most complex data standardization for the xAI partnership, engineering Python pipelines to align messy legacy data with 9 automated datasets during a high-stakes 48-hour war room alongside the Co-founder, Principal Engineer, and Product Leadership.
Built high-fidelity Reinforcement Learning (RL) training environments for frontier AI models, implementing custom Model Context Protocols (MCP) for OpenAI (Linear) and cloning complex B2B SaaS platforms for xAI (Slack, Box, Dropbox).
Engineered Dreamliner's real-time 'Visual Sandbox' by orchestrating Docker, Xvnc, and websockify to stream headed Playwright agents to the browser via NoVNC, while automating trace recording and S3 uploads.
Engineered core systems for Taggr (Desktop Activity Agent), building a crash-proof auto-update engine (atomic rollbacks, resumable downloads) and a low-overhead telemetry pipeline to capture real-time system metrics (CPU/RAM/IO) across Win/Mac/Linux.
Built the Dreamliner Data Access Hub for partner labs using FastAPI & Next.js, implementing polymorphic RBAC and complex filtering to allow secure discovery and export of proprietary training datasets.

ETL pipelineAWS EC2PythonFastAPINext.jsMachine Learning+1

Profit matters

Full Stack Developer

Jul 2024 – Aug 2025 · 1 yr 1 mo · Dhuri · Remote

Sole Developer-Architected & Built from Scratch
Automated the entire client lifecycle—now handling 100+ monthly clients—from onboarding and e-signing to subscription management and compliance reporting—on a secure, SEBI-compliant platform.
Engineered a dual-payment module with Razorpay and manual verification, securing all financial operations with atomic MongoDB transactions to ensure data integrity.
Implemented a multi-stage onboarding workflow featuring OTP/JWT authentication, role-based access, and legally-binding Aadhaar e-signing via the Digio API.
Ensured end-to-end regulatory compliance and data immutability with an ACID-compliant, audit-ready database and secure document archival using AWS S3 Object Lock.
Established a full CI/CD pipeline using GitHub Actions for automated, zero-downtime deployments to a VPS managed with Nginx and PM2.

MongoDBRazorpayGitHub ActionsNginxPM2Full-Stack Development+1