Oct 2025 – Dec 2025 · 2 mos · Pittsburgh, PA · On-site

Aug 2025 – Dec 2025 · 4 mos · Pittsburgh, PA · On-site

• Built a time-series forecasting model (SARIMAX) for forecasting the cost of 3 industrial chemicals with 93% accuracy
• Engineered Agentic AI workflows that generate cost-estimation models and interactive dashboards for informing key procurement decisions using n8n, Google Gemini API, FastAPI, MongoDB and Qdrant Vector Database

Jun 2025 – Aug 2025 · 2 mos · Wilmington, Delaware, United States · Remote

• Partnered with C-suite leadership to spearhead an AI-driven educational content initiative, aligning strategy with business goals
• Built multi-agent orchestration pipelines with n8n, leveraging AI agents, Python, JavaScript, and prompt engineering to auto-generate course material (scripts, quizzes, slideshows) integrated with PostgreSQL and Excel

Aug 2023 – Apr 2024 · 8 mos · Pune, Maharashtra, India · Remote

• Implemented an object storage system using fixed-length chunking; incorporated a fault- tolerant rebuild mechanism for failed disks
• Utilized Intel Intelligent Storage Acceleration Library (ISA-L) for implementing erasure coding; delivered an optimal encoding throughput of 4.2 GB/sec, minimizing upload time

May 2023 – Jul 2023 · 2 mos · Pune, Maharashtra, India · On-site

• Leveraged time series forecasting models, ARIMA and SARIMA and other statistical methods to predict future credit card redeemed points using time series data
• Conducted residual autocorrelation analysis using ACF and PACF plots
• Single-handedly engineered and deployed an LSTM deep learning architecture for optimization

Feb 2023 – May 2023 · 3 mos · Pune, Maharashtra, India · On-site

• Built an Advanced Conversational Interface with Python leveraging Langchain (LLM) & OpenAI API (GPT-3.5 Turbo)
• Engineered a knowledge base by performing large-scale web scraping (BeautifulSoup) of institutional content and integrated Retrieval-Augmented Generation (RAG) to deliver real-time query responses