Tech Operations @AVataraDefence

Ahmednagar

Bengaluru, Karnataka, India







Computer Science And Engineering, Artificial Intelligence and Machine Learning
Vellore Institute of Technology
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Mumbai Metropolitan Region
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Tech Operations at AVatara Defence, Nov 2025 - May 2026 · 6 mo, Ahmednagar, • Faced with the challenge of manual and time-consuming student performance assessment processes within the Indian Army, I worked closely with Army personnel to understand operational workflows, evaluation criteria, and decision-making requirements for commanders. Based on these discussions, I translated real-world military needs into clear software requirements and functional specifications. • Took end-to-end ownership of the project by planning the system architecture, finalizing the technology stack, defining development milestones, and managing a team of software developers. Coordinated development from project initiation to deployment, ensured timely delivery, and conducted regular feedback sessions with Army officials to iteratively refine features and improve usability. • Automated the entire assessment workflow by developing a predictive analysis and assessment software that evaluates student training performance and generates a “pen picture” summary—a concise, data-driven profile of each trainee. The system predicts role suitability, which is then used to enable optimal field placement within the Army based on performance metrics, significantly improving accuracy, efficiency, and decision-making compared to the earlier manual process.
Software Development Intern at Brisa Technologies Private Limited, Jan 2025 - Jul 2025 · 6 mo, Bengaluru, Karnataka, India, • Worked on full-stack development, primarily using Django/Python, MySQL, and Node.js. Collaborated with the team to design, develop, and deploy features utilizing Generative AI. Integrated APIs such as OpenAI into product workflows to enable AI-driven functionalities. Wrote clean, efficient, and well-documented code. Participated in brainstorming sessions to innovate and improve existing solutions. Debugged and resolved the technical issues promptly. • With off-the-shelf models lacking privacy and domain fit and high response time, I was responsible for creating custom LLMs for HR and healthcare tasks; I generated synthetic datasets using GenAI and fine-tuned models like Mistral, llama etc running locally using Ollama, achieving accurate, privacy-compliant recommendations and reduced response time using quantization for both use cases. • Faced with the challenge of fragmented workforce data, I was tasked with building a real-time workforce planning platform. I developed RESTful APIs using Node.js, Flask, and Django, and integrated them seamlessly into the frontend interface. I also wrote optimized SQL queries for data retrieval from database(PostgreSQL) , resolving all assigned bugs and performance bottlenecks.
Computer Science And Engineering, Artificial Intelligence and Machine Learning, Vellore Institute of Technology
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