I am a Class of 2027 undergraduate at the Indian Institute of Technology (IIT) Bombay, pursuing a B.S. in Economics with a Minor in AI & Data Science. My technical expertise spans full-stack engineering, AI/ML, and cloud…
I am a Class of 2027 undergraduate at the Indian Institute of Technology (IIT) Bombay, pursuing a B.S. in Economics with a Minor in AI & Data Science. My technical expertise spans full-stack engineering, AI/ML, and cloud infrastructure, with strong proficiency in Python, C++, FastAPI, PyTorch, and Docker. Professionally, I served as an AI and Systems Engineer at Longani Consulting, where I architected a production-grade RAG system utilizing LangChain and migrated backend infrastructure to Azure. My portfolio features high-impact engineering projects, including a real-time credit-scoring engine built with Apache Kafka and AWS ECS that processes over 1 million daily transactions, and a National Winner project for the Smart India Hackathon involving a Bi-Directional ISL Translator optimized for edge devices. Currently, I serve as the Manager of the AI Community at IIT Bombay, leading engineering teams to build and deploy scalable platforms like "Resume Rater" using Next.js and serverless container architecture.
Architected ResumeRater, a high-availability platform for 10,000+ residents using Next.js and FastAPI.
Designed the microservices backend with Dockerized containers orchestrated via Azure Container Apps.
Leading a team of 6+ engineers through rigorous Agile sprints and code reviews.
Established a robust DevOps culture by architecting GitHub Actions pipelines for automated testing and seamless deployments.
• RAG Architecture: Architected a production-grade Retrieval-Augmented Generation (RAG) system utilizingLangChain and OpenAI GPT-4; implemented an Ensemble Retriever combining BM25 Keyword Search withCosine Similarity on dense vector embeddings to boost retrieval precision by 35% for complex legal & consulting queries.• Backend & Security: Engineered a high-throughput FastAPI microservice leveraging AsyncIO for non-blockingI/O operations; implemented robust security via JWT-based Role-Based Access Control (RBAC) and optimizeddatabase performance using SQLAlchemy with Pydantic validation and Connection Pooling to sustain concurrency.• Prompt Engineering: Designed sophisticated Chain-of-Thought (CoT) prompt templates and Few-Shot Learningpipelines to extract structured insights from unstructured multimodal data, significantly reducing hallucination rates.• DevOps & Cloud: Migrated infrastructure from GCP to Azure, orchestrating GitHub Actions CI/CD pipeline forautomated container delivery; enabled zero-downtime releases via Azure App Service with traffic-based autoscaling.
Architected a production-grade Retrieval-Augmented Generation (RAG) system utilizing LangChain and OpenAI GPT-4.
Implemented an Ensemble Retriever combining BM25 Keyword Search with Cosine Similarity on dense vector embeddings to boost retrieval precision by 35% for complex legal and consulting queries.
Engineered a high-throughput FastAPI microservice leveraging AsyncIO for non-blocking I/O operations.
Implemented robust security via JWT-based Role-Based Access Control (RBAC).
Optimized database performance using SQLAlchemy with Pydantic validation and Connection Pooling to sustain concurrency.
Designed sophisticated Chain-of-Thought (CoT) prompt templates and Few-Shot Learning pipelines to extract structured insights from unstructured multimodal data.
Migrated infrastructure from GCP to Azure.
Orchestrated GitHub Actions CI/CD pipeline for automated container delivery.
Enabled zero-downtime releases via Azure App Service with traffic-based autoscaling.
Engineered a fault-tolerant streaming pipeline using Pathway and Apache Kafka to process 1M+ daily transactions at
Engineered a production-grade SaaS platform using Next.js with Server-Side Rendering (SSR).
Architected a high-concurrency FastAPI backend utilizing AsyncIO to handle 500+ simultaneous requests.
Designed a robust deployment pipeline using Docker Multi-Stage Builds.
Orchestrated serverless containers on Azure Container Apps with autoscaling to automatically provision replicas based on HTTP traffic spikes.
Architected a custom Seq2Seq neural network leveraging Bi-Directional LSTMs to capture long-term temporal dependencies in complex gesture sequences.
Upgraded the model to Multi-Head Attention.
Engineered a high-performance inference pipeline by converting PyTorch models to ONNX Format and applying Dynamic INT8 Quantization.
Reduced model binary size by 65% to facilitate browser-based deployment.
Achieved real-time throughput of 30 FPS on commodity CPUs.
Eliminated dependency on GPUs.
Architected a scalable semantic search engine utilizing FAISS with HNSW Indexing for approximate nearest neighbor retrieval.
Generated dense vector embeddings via KeyBERT and Sentence-Transformers.
Achieved sub-100ms latency on large corpora.
Significantly outperformed lexical Regex matching.
Constructed tripartite networks with artificial fraud nodes.
Optimized detection using DeepWalk on transaction graphs.
Developed a stacked ensemble model (GNN + XGBoost) and inductive pooling for real-time risk assessment and flagging.
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