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Software Engineer with less than a year in AI/ML, Backend Development & Data Analytics.
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Highly motivated and results-driven individual with practical experience in AI/ML, backend development, and data analytics. Proven ability to design RESTful APIs, orchestrate multi-agent LLM workflows, and develop full-stack applications that reduce operational costs and improve efficiency. Strong skills in Python, FastAPI, LangChain, and database management, with a keen interest in building scalable and impactful AI solutions.
Birla Institute of Technology & Science Pilani, Hyderabad Campus
B.E. · Civil Engineering
August 1, 2022 – June 30, 2026
MS Junior College
Class XII
N/A – May 31, 2021
All Saints High School
Class X
N/A – May 31, 2019
Questt.ai
SDE Intern
July 1, 2025 – December 1, 2025
India
GMR Varalakshmi Foundation
Data Analyst Intern
May 1, 2024 – July 1, 2024
India
Financial-Analyst-Agent
June 24, 2026 – Present
Architected and developed a full-stack AI financial analyst agent using FastAPI, LangChain, and GPT-40, enabling natural language querying of P&L data across 10+ global regions, reducing analyst report generation time by ~70%. Built secure OTP-based passwordless auth with bcrypt hashing and JWT tokens, reducing login friction by ~50% while supporting 2 role-based tiers. Orchestrated multi-agent LLM workflow (LangChain, LangSmith) with real-time streaming via async WebSocket pipeline. Implemented financial intelligence engine computing YoY growth indices, budget vs actual variances, and hierarchical profitability metrics (EBITDA, EBIT, PAT).
View ProjectEnterprise Document Intelligence Platform
June 24, 2026 – Present
Architected an async RAG backend to process PDFs, using Celery & Redis to handle high-concurrency workloads without blocking the API. Reduced LLM operational costs by 40% through Redis Semantic Caching, serving repeated queries directly from memory. Implemented a unified PostgreSQL (pgvector) database to manage high-dimensional vector embeddings alongside relational application data.
View ProjectAI Onboarding Agent
June 24, 2026 – Present
Built a multi-agent AI onboarding system using LangGraph and GPT-40 to detect user blockers and deliver real-time nudges via WebSocket. Engineered a LangGraph state machine orchestrating 4 AI agents: Diagnosis, Coach, Action Taker, and Escalation with deterministic routing logic. Designed an event-driven pipeline with FastAPI and Redis Streams to ingest user behavior events asynchronously and trigger AI diagnostic workflows.
View ProjectCultural Fit Analysis
The candidate's involvement in multiple personal projects and leadership activities (Core Member - Civil Engineering Association, Founding Member, Paradox Magic Society) indicates a proactive, self-driven individual with a broad range of interests. The projects are highly relevant to modern AI/ML and backend development, aligning well with innovative tech environments. However, the academic background in Civil Engineering, while demonstrating versatility, might require additional validation for a pure software engineering role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project architectures and efficiency improvements. Their experience in leading and coordinating events suggests good organizational and teamwork capabilities. The project descriptions indicate an ability to translate business requirements into technical solutions.