Jun 2025 – Oct 2025 · 4 mos · Remote

• 1. Designed the end-to-end architecture for an AI-driven cost-analysis platform combining FastAPI/Flask, Python, Pandas, and OpenAI APIs.
• 2. Implemented secure file-upload processing for Excel/CSV and extracted structured fields such as vendor, date, description, and amount.
• 3. Integrated OpenAI models to perform expense categorization, anomaly detection, summarization, and category-level aggregation.
• 4. Developed clean backend endpoints to return categorized rows, anomaly lists, and category totals in JSON.
• 5. Built a minimal frontend interface to display results including file name, categorization tables, anomalies, and totals.
• 6. Added optional enhancements, including SQLite-based data storage and export options (CSV/PDF).
• 7. Ensured scalability and clean code standards, focusing on API clarity, predictable responses, and maintainable structure.
• 8. Collaborated with junior developers, providing AI logic, prompts, and requirements while guiding them on backend integration best practices.

Jun 2024 – May 2025 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• 1. Built an LLM-driven migration framework (Python, Airflow) automating pipeline generation and migrating 1K+ workflows in 15 days (↓3 months effort).
• 2. Integrated a data validation engine (Python, SQL, BigQuery), reducing post-migration QA time by 60%.
• 3. Fixed campaign tagging errors (Go, GCP, BigQuery), improving data accuracy by 30% across pipelines.
• 4. Optimized backend for peak sales load, sustaining multi-TB daily throughput with zero downtime.
• 5. Provided on-call production support, diagnosing and resolving critical pipeline failures in real time

Apr 2023 – Jun 2024 · 1 yr 2 mos

• 1. Owned and scaled core backend services, boosting system reliability and throughput by 40%.
• 2. Solely designed and developed the Admin module (Django) with secure session logging, RBAC, and audit tracking for compliance.
• 3. Built a pipeline builder tool enabling UI-based workflow setup, cutting configuration time from days to hours.
• 4. Developed and optimized RESTful APIs (Python, Django) handling 5K+ daily requests, reducing latency by 20%.
• 5. Engineered reusable frameworks for AWS S3, and DDL automation, reducing developer onboarding by 30%.
• 6. Streamlined deployments via Kubernetes-based Airflow, cutting infra overhead and release time by 25%.

Jun 2021 – Jun 2023 · 2 yrs

• 1. Co-developing a "game-changing" digital analytics capability for the client, the largest pharmaceutical company that brings 3 corporate functions (R&D, Procurement, and Finance) within one platform.
• 2. Responsible for incorporating Cost Simulation functionality structured with all 4 layers – UI/ visualization, logic/analytics services, data, technology infrastructure for a complete digital analytics platform.
• 3. Generated multiple patterns while processing 15000+ unstructured files using methods like Tika, BeautifulSoup, Camelot, Tabula, etc., also to optimize and enhance productivity, implemented multiple services provided by Azure like cognitive services, form-recogniser, image language detector etc.
• 4. Single-handed worked on developed the pipelines on Apache-Airflow and
• Azure Data Factory(ADF), for one of the major products of the company.
• 5. Mentored an intern to bring him on board with the current projects, norms & processes in the company while resolving his doubts & queries.

Feb 2021 – May 2021 · 3 mos

Jul 2020 – Dec 2020 · 5 mos · Gurgaon, Haryana, India

• 1. Developed a dashboard for the company’s upcoming product ‘Mederchaincode’, an online platform to manage hospitals’ branches at different geographical locations from a centralized system.
• 2. Analyzed acquired data and Implemented Time-Series modeling (via Auto - ARIMA) for predictive analysis to forecast staff requirements based on prediction for incoming patients each day.
• 3. Gathered and extrapolated data for 1 Lac+ patient to test the POC of the aforesaid product.
• 4. Demonstrated the POC over PowerBI tool for generating reports and data to move forward with the main development.
• 5. Deployed the whole project on AWS and integrated AWS Cron Job to regularly update the dashboard.

Apr 2020 – Jun 2021 · 1 yr 2 mos

• 1. Initiated online in-person coding school amid Covid-19 pandemic to help the community by delivering my knowledge online.
• 2. Enrolled 60 middle and elementary school students within 3 batches from multiple countries in a three month long online course.
• 3. Training 15 students from the previous batch for the next level certification on weekly basis.
• 4. Earned acknowledgment of 60 smiling faces and a revenue of around $15,000 in three months.
• 5. Devised a one week free Python training workshop to attract students to enroll in the abovementioned course which witnessed 150+ participants.

Jun 2019 – Jul 2019 · 1 mo · bangalore

• 1. Configured their in-house software Kronos, a payroll automation IoT system, for various clients.
• 2. Developed algorithms to optimize the system according to clients’ needs.
• 3. Investigated 50+ institutes to gather data about ongoing IT professional training the pricing associated with each course for another vertical of the company.
• 4. Conducted in-depth research for the Robotic Process Automation(RPA) course and contributed to content creation for the same.
• 5. Analyzed and Illustrated the demand and pricing for the courses using data visualization tools.

Mar 2019 – May 2019 · 2 mos

• 1. Mentored and Trained 50+ students to make them tech-enabled while providing relevant lab experience using online platforms like Jupiter Notebook etc.
• 2. Conducted Institute and hostel level classes for 3 months, along with one real-time project.
• 3. Oversaw 5 students for one to one mentoring to guide them for proper time management to do well in academics along with the given project.
• 4. Mentored and pushed the students to take up more and more real-time projects using python.

Oct 2018 – Feb 2020 · 1 yr 4 mos

• 1. Co-Led a 4-tier team of 500+ students for organizing a youth festival with 25,000 footfalls.
• 2. Spearheaded a 15 member team responsible for result management, from dealing with judges to the announcement of results across teams.
• 3. Co-ordinated with managers of 80+ events, verified the results with judges for fair play, compiled and communicated the results to all the participants.
• 4. Restructured and executed the strategy to take the complete process online for real-time delivery of results.
• 5. Oversaw prize and certificate distribution to all the winners and participants.

Aug 2018 – Jun 2019 · 10 mos · Chandigarh

• 1. Developed a platform to provide internships to college students while enabling them through training and hands-on experience mentored by industry experts.
• 2. Identified opportunities by analyzing how and where we can target the students, what are the trending technical fields, what are the risks involved in each field.
• 3. Executed strategic planning to achieve business goals, considering both short term and long term objectives while identifying and prioritizing development initiatives.
• 4. Designed and co-developed the frontend and backend of the Minimal Viable Product (MVP).

Aug 2017 – Feb 2018 · 6 mos · Chandigarh, India

• Conducted market research to know the response for leasing revenue model for books and analyzed the then-current scenario of multiple ownership of books.
• Segmented and targeted college students as the primary market and conducted over 500 interviews and surveys to gather data from different geographical locations.
• Responsible for Partnerships with local Vendors and brought onboard 40+ such entities.
• Co-created MOUs and policies regarding the pricing model for the leasing business.