Hi, my name is
Building Production-Grade AI Systems, Backend APIs & Modern Web Applications.
Python • Java • React • FastAPI • Node.js
Open to Opportunities • Let's connect 🚀
Hello! I'm a Computer Science graduate passionate about building AI-powered applications, scalable backend systems, and modern full-stack software.
My interests span Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Backend Engineering, Computer Vision, and System Design. I enjoy turning complex ideas into production-ready applications with clean architecture and great user experiences.
I specialize in crafting high-performance APIs and integrating advanced agentic workflows to solve real-world industry problems.
Currently seeking opportunities in Software Engineering, Backend Development, and AI Systems.
Mastered complex algorithmic challenges and software design patterns with optimal solutions.
Built enterprise Hybrid RAG systems, Agentic AI chatbots, and AI Research Copilots.
Authored a published paper on AetherGuard Deepfake Forensic with registered DOI in IJAMRED Journal.
Problem: Standard LLM chat systems lack domain-grounded knowledge accuracy and multi-step agentic workflow routing.
Solution: Built a production-ready RAG chatbot with LangGraph, FastAPI, Chroma/Pinecone vector databases, and OpenAI/Gemini for answering questions from an Agentic AI eBook.
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Problem: Manually reviewing and auditing complex engineering design documents for incremental updates is error-prone.
Solution: Developed an AI-powered engineering document comparison platform featuring visual diff generation, grounded RAG chat, delta analysis, OCR, and computer vision.
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Problem: Sales operations spend excessive manual effort enriching company data, planning personalized outreach, and tracking CRM updates.
Solution: Built an AI GTM automation engine with LangGraph, FastAPI, and Streamlit for automated company intelligence, personalized emails, and CRM sync.
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Problem: Enterprise research teams require deep, multi-source company insights before high-stakes sales and strategy meetings.
Solution: Engineered a production-grade AI Research Copilot using React, FastAPI, LangGraph, and LangChain for automated company research and meeting prep briefs.
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Problem: Sales pipelines face unpredictable revenue forecasting without predictive lead scoring.
Solution: Engineered an end-to-end Machine Learning pipeline using Random Forest, Scikit-Learn, extensive EDA, feature engineering, and inference on unseen test datasets.
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Problem: High competition for Software Engineering and AI roles requires instant notification when new positions open.
Solution: Built an automated job monitoring system that continuously tracks engineering opportunities across job boards and sends real-time Telegram alerts.
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Problem: Modern teams need lightweight, high-performance task managers with secure authentication and persistent state.
Solution: Built a modern full-stack task management application using React, FastAPI, SQLite, and JWT authentication with an intuitive dark-themed UI.
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Problem: Readers need seamless article saving directly from iOS Share Sheets with real-time reading progress tracking.
Solution: Built a Read-it-later native iOS app in SwiftUI with WKWebView integration, custom Share Extension, and intelligent reading-time synchronization.
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Problem: Removing hundreds of historical liked posts on Instagram manually is tedious and time-consuming.
Solution: Created a lightweight browser console script that automates bulk unliking of Instagram posts directly from the browser window securely.
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Problem: Creators lack fast, secure tools to generate and manage custom high-quality visuals on demand.
Solution: Built a production-grade text-to-image generation platform with multi-provider inference pipelines, prompt caching, Razorpay payment gateway integration, and JWT authentication.
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Problem: Traditional vector search in RAG struggles with exact word matches and lexical queries, leading to incomplete answers.
Solution: Built a production-grade Context-Aware Document Question Answering bot implementing Hybrid Retrieval (combining semantic vector search with BM25 lexical search) and Reciprocal Rank Fusion (RRF) reranking.
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Problem: Students struggle to search and query complex, unstructured placement preparation materials and institutional datasets.
Solution: Created PlacementGPT, an enterprise-grade Retrieval-Augmented Generation (RAG) platform using hybrid retrieval, cross-encoder reranking, and cache-backed queries for high accuracy and speed.
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Problem: Synthetic media and deepfakes threaten digital trust, making verification of video and image content critical.
Solution: Engineered an AI-powered forensic system utilizing EfficientNet and Vision Transformers (ViTs) to detect facial anomalies and digital manipulations across images and video feeds.
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Problem: E-commerce inventories suffer from race conditions and sync delays under high-volume ordering workloads.
Solution: Designed a production-ready API for grocery inventory and order management utilizing Django REST Framework, Docker containers, Redis for caching, PostgreSQL, and Celery for asynchronous task processing.
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Problem: Professionals and teams struggle to capture action items and key insights from long, unstructured meetings.
Solution: Developed a TypeScript-powered AI meeting assistant that processes transcripts, extracts actionable items, and generates structured meeting summaries.
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Problem: Recruiters struggle to get rapid, detailed candidate profiles and book interviews seamlessly without back-and-forth emails.
Solution: Developed a candidate representative agent with Hybrid Retrieval (ChromaDB Vector + BM25 Lexical search), RRF reranking (Cross-Encoder), guardrails against jailbreaking, low-latency voice integration (Vapi, ElevenLabs, Deepgram), and autonomous Google Calendar booking.
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Problem: HR systems require strict authorization, database integrity checks, and custom modular reporting outputs.
Solution: Programmed an enterprise Employee Management System using Module Pool programming, SAP Dictionary (DDIC), Object-Oriented ALV Reports, Lock Objects, and BCS email alerts.
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Problem: Redesigning cookie and tracking consent boxes is essential to comply with India's DPDP Act (2023) without degrading UX.
Solution: Created an interactive PM case study and mobile prototype of YouTube's data consent experience, aligning user interfaces with strict privacy regulations.
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Problem: Constructing modular banking portals and custom video player controllers requires highly precise layout matching.
Solution: Built a pixel-perfect replica of the ICICI Bank privileges interface, combined with an interactive YouTube chapter markers system and lead capture forms.
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Problem: Roommates and travel groups struggle with complex, error-prone manual bill-splitting and balance tracking.
Solution: Built a modern expense-sharing platform that dynamically computes ledger balances on-the-fly, ensuring zero database-level sync anomalies.
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Problem: Traditional document searching in team task managers relies on exact keywords, missing critical context.
Solution: Created a semantic-search task board leveraging FAISS and SentenceTransformers locally to index and search workspace documentation by meaning.
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Problem: Auditing multi-tenant corporate travel, fuel, and utility logs involves disjointed formats and data gaps.
Solution: Engineered a Django-based enterprise platform parsing mixed-language CSVs, calculating carbon footprints via Haversine distance, and managing reviews.
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Problem: Text encryption and decryption utilities often feature clunky, intimidating layouts that discourage non-tech users.
Solution: Developed a sleek, interactive encryption studio featuring a high-fidelity glassmorphic UI, real-time transformations, and dual theme support.
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Problem: Generating a cohesive AI-generated visual narrative with consistent characters and cinematic quality requires orchestrating disjointed, complex AI models.
Solution: Engineered an end-to-end AI Visual Storytelling pipeline demonstrating character consistency, precise prompt engineering, cinematic scene generation, AI video production, and documentary workflow organization.
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Problem: Selecting the right AI model for enterprise systems requires navigating complex cost, latency, and privacy tradeoffs.
Solution: Built an interactive evaluation dashboard and decision framework providing real-time recommendations based on cost analysis and privacy needs.
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Problem: Cloud kitchen operators face high failure rates due to saturated market areas and misaligned regional pricing.
Solution: Developed a market intelligence system using Python to analyze competitor density, customer demand zones, and optimize regional pricing models in Nashik.
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Exploring AI, deep learning, and real-world problem solving through research and innovation.
Cited Research / Published Work
Research work focused on detecting manipulated media using AI and deep learning techniques to improve digital content authenticity and media verification.
Chitkara University
2022 – 2026
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