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Python Engineer with 1+ years in Generative AI & Scalable REST APIs
Motivated Computer Science graduate from Sant Gadge Baba Amravati University with 1.6 years of hands-on experience as a Backend Developer and Generative AI Engineer. Expertise in building scalable REST APIs using Node.js, NestJS, FastAPI, and Python. Proficient in integrating advanced AI models including AWS Bedrock and Claude for intelligent automation. Experienced in database design with PostgreSQL and MongoDB, serverless deployment on AWS Lambda, and complex business logic implementation. Strong background in AI-powered contract analysis, legal document processing, and risk assessment systems. Skilled in full-stack SaaS platform development with role-based access control, multi-user authentication, and payment integrations. Fast learner passionate about building intelligent backend systems that solve real-world problems.
Sant Gadge Baba Amravati University
Bachelor of Engineering in Computer Science · Computer Science
August 1, 2020 – June 30, 2024
Apsis Solutions
Backend Developer & Generative AI Engineer
December 1, 2024 – Present
Pune, Maharashtra, India
Smart Contract Management System – AI-Powered Legal Document Analysis Platform
August 1, 2023 – February 1, 2024
Engineered an AI-powered contract management platform that automates contract creation, analysis, and risk assessment using AWS Bedrock and Claude generative AI models. Developed intelligent contract analyzer that processes PDF contracts, extracts key clauses, and validates compliance against organization's mandatory legal requirements with automated risk scoring. Built risk assessment engine that categorizes identified contract risks as Low, Medium, or High risk, providing actionable insights for legal teams and business decision-makers. Implemented multi-tier role-based access control system enabling Admin, Manager, and Signatory roles with granular permissions for contract approval, rejection, and clause updates based on authority levels. Developed comprehensive contract lifecycle management features including deliverables tracking, receivables management, payment processing, and automated email reminders for pending approvals. Integrated payment gateway for secure contract-related transactions and implemented multi-login system supporting simultaneous sessions for managers and signatories. Deployed backend services on AWS Lambda ensuring 99.9% uptime and millisecond-level latency; reduced manual contract review time by 80% through AI-powered automation.
NBO CLASS – AI-Powered Competency-Based Assessment Platform
August 1, 2023 – February 1, 2024
Architected a full-scale assessment platform with hierarchical client → project → cohort structure enabling batch-wise evaluation of employees across Group Activities, Business Cases, Leadership Questionnaires, and Role-Play Scenarios. Developed AI-powered assessment engine integrating Generative AI to analyze participant text answers in real time against organizational competencies and auto-generate follow-up probing questions dynamically. Built assessor scoring workflows and competency-mapped participant report generation system with admin approval/rejection/editing capabilities. Engineered a conflict-free smart schedule generator using complex logic to automatically assign activities, assessors, and participants to time slots, eliminating manual scheduling overhead. Implemented role-based access control with Admin, Assessor, and Participant roles; deployed backend services on AWS Lambda for scalable multi-client, multi-cohort assessment delivery.
AWS Lambda & Serverless Architecture Fundamentals
Unknown
June 1, 2026 – Present
Anthropic AI Certification – Generative AI & LLM Integration
Anthropic
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and current role demonstrate a strong interest and practical experience in AI-powered solutions and backend development, which aligns well with innovative and technically driven environments. The diversity of projects (assessment platform, contract management) showcases adaptability and a broad skill set. Their focus on optimizing costs and improving efficiency through serverless architectures suggests a pragmatic and value-driven mindset. The candidate's experience with multiple backend frameworks (FastAPI, NestJS) and databases indicates a willingness to learn and adapt to different technologies, which is a positive for cultural fit in dynamic teams.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, particularly in developing complex logic for scheduling and risk assessment. Their experience in architecting full-scale platforms and optimizing infrastructure costs suggests a practical, results-oriented approach. The focus on multi-tenant systems and RBAC indicates an understanding of enterprise-level operational requirements. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.