Ram Manohar

AI & Full-Stack Engineer

3+ yrs exp 88 · Excellent

About

AI & Full-Stack Engineer with hands-on experience building end-to-end AI systems and production-grade web applications. Proficient in designing RAG pipelines, LLM integrations, and agentic AI workflows using LangChain, HuggingFace, FAISS, and Vertex AI. Strong full-stack foundation across React, Node.js, PostgreSQL, and AWS enabling end-to-end ownership from model layer to deployed product. Proven ability to ship AI-powered, scalable systems in fast-paced environments with real user impact.

Skills & Expertise (40)

React.js Advanced

8.3/10

Years Exp

AWS Advanced

8.1/10

Years Exp

Typescript Advanced

8.0/10

Years Exp

Docker Advanced

7.9/10

Years Exp

Node.js Advanced

7.8/10

Years Exp

Lambda Express.js MongoDb Postgresql Redis EC2 S3 HTML5 SQS Cd pipelines Git JWT Google OAuth FastAPI NumPy Pandas Vertex AI LlamaIndex RAG Pipelines FAISS Vector Databases HuggingFace Prompt Engineering LLM Integration OpenAI Gemini CSS3 AI Agents Embeddings Next.js Tailwind CSS Shadcn UI Framer Motion LangChain

Work Experience

Full-Stack Engineer

CCC Digital India Private Limited

Feb 2025 - Present

Led frontend development of a Learning Management System (LMS) serving 5,000+ active users using React, TypeScript, shadcn/ui, media-chrome, and react-pdf. Scaled the student-facing LMS by integrating 3+ core modules (Quizzes, Assignments, Courses) and built a V1 proctoring suite with tab/focus detection, anti-copy protections, and automated violation-triggered submissions. Engineered a high-performance LMS admin dashboard with ABAC-driven UI permissions using CASL, offloaded bulk Excel processing to Web Workers, achieving zero UI lag during large imports of students and problem sets. Built a full-featured task-tracking platform (Kanban, issues, notes, analytics, admin dashboard, real-time chat) with AI-assisted task elaboration, integrating REST APIs via React Query and Zustand, used React 19 + TypeScript (Vite) stack with Google OAuth. Led frontend development of a React/TypeScript resume builder used by 10,000+ users, engineered real-time preview with react-pdf and Zustand, implemented debounced auto-sync and state optimizations that improved editor responsiveness by 30% with zero production defects. Orchestrated DevOps workflows by streamlining deployments through CI/CD pipelines and Dockerized EC2 environments, reduced infrastructure overhead by right-sizing instances based on demand, resulting in measurable cloud cost savings.

Transaction Risk Investigator

Amazon Development Centre India Pvt Ltd

Nov 2019 - Jun 2022

Performed large-scale data analysis on customer order and Amazon Pay transaction datasets using SQL and internal analytics tools to detect fraud patterns and anomalous activity. Built and maintained structured data reports and dashboards to track fraud trends, enabling data-driven decisions across investigation and engineering teams. Authored detailed Method of Operations (MOs) documenting fraud techniques and worked directly with software development teams to recommend automation-based and system-level mitigations. Collaborated with cross-functional Gemba teams to improve automated workflow systems and guided investigation tools, increasing detection accuracy and reducing ticket processing turnaround time. Contributed to the design and refinement of internal tooling and automation scripts, streamlining repetitive investigative workflows and improving overall team throughput.