Help & Supportcareers@gravityer.com
Fullstack Engineer with 4+ years in React, Node.js, Go & AI platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Full Stack Engineer and Tech Lead with 4+ years of experience building and shipping scalable enterprise applications, AI-powered platforms, and distributed backend systems. Led teams of up to 7 engineers across HRMS, DMS, legal-tech, government, and EdTech domains. Deep hands-on expertise in React, Next.js, Node.js, Go (Golang), and TypeScript - integrating OpenAI GPT-4 / Gemini LLMs, LangChain RAG pipelines, and pgvector / Pinecone retrieval systems into production. Consistently delivered measurable outcomes: 35-50% performance gains, 99.9% uptime on AWS/GCP infrastructure, and AI Q&A systems achieving 92% answer relevance.
SRM University, Chennai
B.Tech · Computer Science Engineering
August 1, 2018 – June 30, 2022
Qonevo Technologies
Senior Full Stack Engineer & Tech Lead
December 1, 2025 – Present
Noida, Uttar Pradesh, India
CBSL Group
Full Stack Developer
February 1, 2022 – August 1, 2025
Gurgaon, Haryana, India
Inventory Management System
December 1, 2025 – June 1, 2026
Built an inventory management platform using Go for real-time stock tracking across 10,000+ SKUs. Achieved 3× faster report generation through concurrent Go routines and Redis-backed caching layers.
Masters Connect AI – AI-Powered EdTech Platform
December 1, 2025 – June 1, 2026
Built an AI Q&A tutoring platform using RAG (LangChain + pgvector + GPT-4) serving 5,000+ students. Achieved 92% answer relevance on curriculum-based queries through fine-tuned retrieval and prompt engineering. Reduced average student query resolution time from minutes to under 5 seconds.
Document Management System (DMS)
February 1, 2022 – August 1, 2025
Built an enterprise-grade DMS for secure storage, indexing, and retrieval of 1M+ documents. Developed OCR extraction and metadata pipelines achieving 95% digitization accuracy on scanned government documents. Reduced manual document retrieval time by 70% through full-text search powered by Elasticsearch.
BLR – Bihar Land Record System
February 1, 2022 – August 1, 2025
Built a government land record platform for the Bihar Government serving 100,000+ citizens. Designed backend APIs handling 20,000+ daily transactions with optimized PostgreSQL queries under strict government SLA requirements. Implemented RBAC authentication and full audit trail workflows meeting compliance standards.
HRMS – Human Resource Management System
February 1, 2022 – August 1, 2025
Developed a full-featured HRMS using Go (Golang) and Next.js for 500+ employees covering attendance, payroll, leave, and reporting dashboards. Reduced payroll processing time by 40% through automated batch workflows. Led a team of 4 engineers during delivery.
Nyaynet - Legal Hearing & Streaming Platform
February 1, 2022 – August 1, 2025
Built a legal-tech platform for live online hearings and OTT-style content delivery with sub-500ms streaming latency using WebSockets and Go. Integrated Whisper API for AI transcription, generating searchable hearing records and reducing manual transcription effort by 80%.
Cultural Fit Analysis
The candidate's diverse project portfolio, including government platforms, enterprise systems, and AI-powered EdTech, indicates adaptability and a broad interest in various domains. Their experience in leading teams and mentoring engineers suggests a collaborative and growth-oriented mindset, which aligns well with a positive team culture. The breadth of technologies and architectural patterns used reflects a continuous learning and innovative approach.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and cross-functional collaboration skills through their experience leading teams and driving project delivery. Their ability to conduct technical interviews and onboard new engineers indicates a proactive approach to team development and operational excellence. The focus on measurable outcomes and adherence to SLAs suggests a results-oriented and reliable work attitude.