Mar 2026 – Present · 2 mos

• I'm one of the 80 (out of 5000) to get in - less than 2% acceptance rate.

Nov 2025 – Nov 2025 · 0 mo

Sep 2025 – Present · 8 mos

Sep 2025 – Sep 2025 · 0 mo · New York, United States

Sep 2025 – Sep 2025 · 0 mo

Jul 2025 – Jul 2025 · 0 mo

Mar 2025 – Mar 2025 · 0 mo

• Invited to Speak at Lightning AI x DataDag Event
• Traditional Data Pipelines
• follow predefined rules
• are static (breaks if API/format changes)
• have no decision-making capabilities
• Agentic Workflows are
• use LLMs to build on rules
• self-adjust to changes (via LLM reasoning)
• Dynamically prioritizes tasks and make own decisions
• Traditional data pipelines are boring but sturdy.
• Agentic Workflows are fast but unreliable.

Sep 2024 – Present · 1 yr 8 mos

• Data Drooler is a hands-on data engineering cohort focused on real-world learning.
• Instead of getting stuck in tutorials, you build three practical data engineering projects that reflect how data systems are actually built and used in industry.
• You’ll work with tools commonly used by data teams, including
• AWS, Azure, Databricks, Airflow, and more.
• This cohort is for:
• Entry-level professionals breaking into data engineering
• Data analysts transitioning into data engineering roles
• People from other technical backgrounds moving into data engineering
• The goal is straightforward:
• Build real pipelines, understand the fundamentals, and leave with projects you can confidently talk about.
• Sign-ups are open for the next Data Drooler cohort.

Sep 2023 – Sep 2025 · 2 yrs · New York, United States

Sep 2023 – Sep 2024 · 1 yr · New York, United States

Aug 2023 – Feb 2024 · 6 mos · New York, New York, United States

• Featured @Microsoft for Startups, Columbia Startup Lab, Wiggin & Dana Fellowship
• Collect, Organize and Manage all your job applications easily using JotterWolf - the ultimate job tracker AI. Get ready for success in that crucial interview call

Feb 2023 – Feb 2026 · 3 yrs

Sep 2022 – Jan 2023 · 4 mos

May 2022 – Sep 2022 · 4 mos

Sep 2022 – Dec 2022 · 3 mos · New York, New York, United States

• Project Name - CYSYPHUS: CYBER SECURITY POLICY RECOMMENDATION TOOL
• A decision-support tool to collect past policy recommendations pertaining to cybersecurity and facilitate both new insights and recommendations

Jan 2022 – May 2022 · 4 mos · New York, United States

Sep 2021 – Jan 2022 · 4 mos · New York, United States

• Course E6690: Topics in Data-Driven Analysis and Computation

Jun 2019 – Jun 2019 · 0 mo

• PROJECT TITLE : PROTECTION OF 33/11KV SUBSTATION
• As Engineer Intern at TSSPDCL, I conducted market research and collated data on consumer usage profiles, conducted research and developed fundamental units and protection strategies of Micro-Grid; employed MATLAB and Simulink to build Micro-Grid model and verify protection strategies
• Key Achievements :-
• Performed Mini project study at TSSPDCL for a period of 4 weeks.
• Gained practical insights of the functioning of Lightening Arrestors, Isolators, Bus bars, Potential Transformers, Fuse, Circuit Breakers, Relays, Gears etc.
• Conducted Fault analysis for open circuit and short circuit faults using a case study to enhance grid reliability by 30%.

May 2019 – May 2019 · 0 mo

• PROJECT TITLE : MANUFACTURING OF TURBO GENERATOR
• As Internship Trainee at Bharat Heavy Electricals Limited, I cleaned and analyzed manufacturing data to identify opportunities for improving process efficiency, and collaborated with Manufacturing Team.I also utilized predictive modeling and statistical techniques to brainstorm production strategy for cost-cutting for 30 days.
• Interacted with workers in various workshops at the manufacturing unit; proposed solutions to reduce overproduction and reduce inventory piling by 5% and improve operational efficiency by 23%.
• Understood the making and assembly process of the internal parts of a Generator ; Conducted study on the process flow and various manufacturing units at BHEL, Hyd.

May 2018 – Jun 2018 · 1 mo

• PROJECT TITLE : HANDWRITTEN DIGIT RECOGNITION USING TENSORFLOW
• EXCITE comes under Jawaharlal Nehru Technological University Hyderabad's R&D initiative J-Hub-( JNTUH Innovation Hub ) J-Hub provides a unique platform for the graduating engineers, faculty, research scholars and alumni to pursue innovation, Applied Research and tech-entrepreneurship.
• While I worked as a Product Engineering Intern, I was involved in the development of a Smart Calculator App the function of which was to help people suffering from Dyscalculia (a learning disorder).
• Key Achievements :-
• Completed training for research techniques of using Deep Neural Networks for Image Classification; analysed 100,000+ images to recognize handwritten numbers accurately up to 96%
• Collaborated with Product Development team of 3, conducting market research and creating product prototypes as per consumer feedback

Feb 2018 – Feb 2018 · 0 mo · Warangal Urban, Telangana, India

• Studied Process flow and Energy Generation mechanism at the Kakatiya Thermal Power Plant, a 1100MW coal based power plant in the state of Telangana