Animesh Seth

Software Engineer

Delhi, India6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed AI-driven applications for real-world business problems.
  • Created a machine learning model for real-time emotion classification.
  • Integrated advanced technology solutions in healthcare and business.
Stackforce AI infers this person is a skilled Software Engineer with a focus on AI and healthcare solutions.

Contact

Skills

Core Skills

PythonGenerative Ai ToolsPharmaceutical Process Scale-upBusiness Analysis

Other Skills

LangChainKnowledge GraphsTensorFlowREST APIBusiness Case ModellingData-driven Decision MakingPrompt EngineeringAgentic AI DevelopmentData EngineeringSoftware DesignGenAILlamaindexLangGraphspaCyNeo4j

About

I am someone passionate about creating and designing solutions to meet innovation for a better future. Started this journey from my school days with the design of a miniature compressed air powered F1 race car, followed by turning family photos into videos to weave stories through simple visuals using self-taught editing tools. Fast forward 3 years, my fascination with how robotics can interact in remarkable ways led me to building robots using Lego Mindstorm Ev3 kits and soon after the development of interface solutions for a holographic projector by integrating its display with an infrared sensor over a custom build frame; thereby creating a novel method of interacting with objects in a 3-dimensional space. My graduate study in computer science and business systems gives me a holistic understanding of how technology interacts with other functions. I am proud of putting my learning into practice in projects where I have used AI in real life scenarios to make a difference such as: 1) Real-time credit card detection system to streamline the repetitive process of entering payment details in the payment solutions portal, being used by various retail portals at the moment. 2) Recruitment interviews, highlighting its impact on fairness, efficiency, and applicant perception. 3) Pharmaceutical solutions system to deliver an advanced medicine recognition capability, expediting inventory management and minimizing man-hour expenditure. 4) Threat analysis and risk monitoring on a real-time basis for HNI and government clients for security and privacy. Besides academics, I have worked with a production house on films on anti-bullying and with NGOs on girl child education. I am also working on a project to develop a machine learning model to classify emotions on a real time basis of children suffering from ADHD and Down Syndrome, and up skilling myself in Tiny ML for optimizing TensorFlow models to run on embedded systems.

Experience

6 mos
Total Experience
6 mos
Average Tenure
6 mos
Current Experience

Tally solutions pvt ltd

3 roles

Software Engineer

Nov 2025Present · 6 mos · Bengaluru, Karnataka, India · On-site

PythonLangChain

Trainee - Software Engineer

May 2025Oct 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

  • I work in the Corporate Information Systems (CIS) function, where I design and develop AI-driven applications that leverage the capabilities of large language models to solve real-world problems and support business processes.

Intern - Software Engineer

Jan 2025Apr 2025 · 3 mos · Bengaluru, Karnataka, India · On-site

  • I am part of the CIS team, working on Generative AI Solutions for Tally Help Team.
Generative AI ToolsKnowledge Graphs

Proteus technologies pvt ltd

Data Scientist Intern

Nov 2023Dec 2023 · 1 mo · Remote

  • Developed and integrated a TensorFlow-based machine learning model into a Flutter mobile application for pharmaceutical solutions, enabling users to scan medicines and initiate REST API calls for inventory management, resulting in a 20% reduction in out-of-stock situations and savings operational cost.
  • Integrated CLIP API with machine learning model to improve medicine naming accuracy and salt combination identification, resulting in a 15% increase in pharmaceutical solution reliability.
  • Collaborated with cross-functional teams to test and validate the accuracy of the enhanced model, leading to a 25% reduction in misidentifications.
Pharmaceutical Process Scale-Up

Meesho

Business Analyst Intern

Aug 2023Oct 2023 · 2 mos

  • Applied data-driven decision-making expertise as a Business Analyst utilizing the MECE problem solving method, MS Excel, and Power BI to successfully address diverse business challenges
  • Leveraged a unique perspective on business problems to deliver impactful insights and strategic recommendations, showcasing adaptability in tackling a wide array of case-based projects
Business Case ModellingData-driven Decision MakingBusiness Analysis

Signal corporation (university of auckland internship program)

Consultant

Jul 2023Jul 2023 · 0 mo

  • Improved the CLAVIN-NERD model by retraining algorithms and fine-tuning techniques, resulting in a 20% increase in accuracy in recognizing atypical text structures and specific street addresses.
  • Proposed and implemented a data enrichment strategy to enhance the model's ability to identify points of interest such as parks and buildings, leading to a 15% improvement in location recognition.
  • Designed and implemented a location hierarchy system within the model to prioritize returning the most specific location entity possible, resulting in more actionable intelligence briefs for end-users.
  • Led the team to improve the model's proficiency in identifying atypical text structures, specific street addresses and point of interest, amplifying its effectiveness in diverse geospatial applications.

Education

Vellore Institute of Technology

Bachelor of Technology - BTech — Computer Science and Business Systems

Sep 2021May 2025

Amity University

High School Diploma — PCM + Computer Science

Jan 2009Jan 2021

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